Christian Bauckhage

Orcid: 0000-0001-6615-2128

According to our database1, Christian Bauckhage authored at least 284 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021).
Int. J. Comput. Vis., May, 2023

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.
IEEE Trans. Knowl. Data Eng., 2023

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection.
CoRR, 2023

SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet.
CoRR, 2023

Informed Named Entity Recognition Decoding for Generative Language Models.
CoRR, 2023

An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Contradiction Detection in Financial Reports.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

How Does Knowledge Injection Help in Informed Machine Learning?
Proceedings of the International Joint Conference on Neural Networks, 2023

Controlled Randomness Improves the Performance of Transformer Models.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models.
Proceedings of the ACM Symposium on Document Engineering 2023, 2023

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

A New Aligned Simple German Corpus.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Sicherheit von Quantum Machine Learning.
Wirtschaftsinformatik Manag., 2022

Bounding open space risk with decoupling autoencoders in open set recognition.
Int. J. Data Sci. Anal., 2022

Anonymization of German financial documents using neural network-based language models with contextual word representations.
Int. J. Data Sci. Anal., 2022

Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning.
CoRR, 2022

Gradient Flows for L2 Support Vector Machine Training.
CoRR, 2022

Predict better with less training data using a QNN.
CoRR, 2022

Informed Pre-Training on Prior Knowledge.
CoRR, 2022

QUBOs for Sorting Lists and Building Trees.
CoRR, 2022

Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision.
CoRR, 2022

What can we expect from Quantum (Digital) Twins?
Proceedings of the WI for Grand Challenges, 2022

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

From Open Set Recognition Towards Robust Multi-class Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning.
Proceedings of the 25th International Conference on Information Fusion, 2022

Quantum Circuit Evolution on NISQ Devices.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Towards Generating Financial Reports from Tabular Data Using Transformers.
Proceedings of the Machine Learning and Knowledge Extraction, 2022

Towards automating Numerical Consistency Checks in Financial Reports.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM.
Mach. Learn. Knowl. Extr., 2021

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention.
CoRR, 2021

Dynamic Review-based Recommenders.
CoRR, 2021

Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms.
IEEE Access, 2021

Automatic Indexing of Financial Documents via Information Extraction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Utilizing Representation Learning for Robust Text Classification Under Datasetshift.
Proceedings of the LWDA 2021 Workshops: FGWM, 2021

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks.
Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Decoupling Autoencoders for Robust One-vs-Rest Classification.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

ALiBERT: improved automated list inspection (ALI) with BERT.
Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

Learning Deep Generative Models for Queuing Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Matrix- and Tensor Factorization for Game Content Recommendation.
Künstliche Intell., 2020

Gradient-free quantum optimization on NISQ devices.
CoRR, 2020

NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks.
CoRR, 2020

Towards Map-Based Validation of Semantic Segmentation Masks.
CoRR, 2020

Learning Syllogism with Euler Neural-Networks.
CoRR, 2020

Adiabatic Quantum Computing for Max-Sum Diversification.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Novelty Discovery with Kernel Minimum Enclosing Balls.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

tanh Neurons Are Bayesian Decision Makers.
Proceedings of the Intelligent Systems and Applications, 2020

Novelty-Guided Reinforcement Learning via Encoded Behaviors.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Recurrent Point Review Models.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Problem Solving with Hopfield Networks and Adiabatic Quantum Computing.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Decision Snippet Features.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Auto Encoding Explanatory Examples with Stochastic Paths.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Switching Dynamical Systems with Deep Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Supervised Autoencoder Variants for End to End Anomaly Detection.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Guided Reinforcement Learning via Sequence Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Hopfield Networks for Vector Quantization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Shells within Minimum Enclosing Balls.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

Vertrauenswürdiges, transparentes und robustesMaschinelles Lernen.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

Tiefe neuronale Netze.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

Grundlagen des Maschinellen Lernens.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019
Notes on the Code Quality Culture on Jupyter (Notebooks).
Softwaretechnik-Trends, 2019

Informed Machine Learning for Industry.
ERCIM News, 2019

Recurrent Point Processes for Dynamic Review Models.
CoRR, 2019

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification.
CoRR, 2019

Recurrent Adversarial Service Times.
CoRR, 2019

Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning.
CoRR, 2019

Towards Contradiction Detection in German: a Translation-Driven Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Improving Word Embeddings Using Kernel PCA.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Max-Sum Dispersion via Quantum Annealing.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A QUBO Formulation of the k-Medoids Problem.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A Community Detection Based Approach for Exploring Patterns in Player Reviews.
Proceedings of the Intelligent Systems and Applications, 2019

Patterns and Outliers in Temporal Point Processes.
Proceedings of the Intelligent Systems and Applications, 2019

Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction.
Proceedings of the 7th International Conference on Learning Representations, 2019

Echo State Networks for Named Entity Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Prototypes Within Minimum Enclosing Balls.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019


A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking.
Proceedings of the ACM Symposium on Document Engineering 2019, 2019

Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch.
Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), 2019

Triple Classification Using Regions and Fine-Grained Entity Typing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Growing Executable Code-Quality-Knowledge Organically.
Softwaretechnik-Trends, 2018

Neural Conditional Gradients.
CoRR, 2018

Adiabatic Quantum Computing for Kernel k=2 Means Clustering.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Informed Machine Learning Through Functional Composition.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

SPSA for Layer-Wise Training of Deep Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Simple Recurrent Neural Networks for Support Vector Machine Training.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Policy Learning Using SPSA.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation.
Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

2017
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM.
Proceedings of the Lernen, 2017

KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences.
Proceedings of the Lernen, 2017

Inverse Dynamical Inheritance in Stack Exchange Taxonomies.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Using Echo State Networks for Cryptography.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

A Neural Network Implementation of Frank-Wolfe Optimization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Ising Models for Binary Clustering via Adiabatic Quantum Computing.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Online k-Maxoids Clustering.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants.
Proceedings of the Computational Sustainability, 2016

Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information.
NeuroImage, 2016

Fast moving pedestrian detection based on motion segmentation and new motion features.
Multim. Tools Appl., 2016

Propagation kernels: efficient graph kernels from propagated information.
Mach. Learn., 2016

Collective Attention on the Web.
Found. Trends Web Sci., 2016

Variable Attention and Variable Noise: Forecasting User Activity.
Proceedings of the Conference "Lernen, 2016

k-Means Clustering via the Frank-Wolfe Algorithm.
Proceedings of the Conference "Lernen, 2016

Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015
Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model.
IEEE Trans. Intell. Transp. Syst., 2015

Exploring Human Vision Driven Features for Pedestrian Detection.
IEEE Trans. Circuits Syst. Video Technol., 2015

The Age of Analytics.
IEEE Trans. Comput. Intell. AI Games, 2015

Clustering Game Behavior Data.
IEEE Trans. Comput. Intell. AI Games, 2015

Action recognition in still images by learning spatial interest regions from videos.
Pattern Recognit. Lett., 2015

LEARNMINER - Advanced Analytics for eLearning.
ERCIM News, 2015

High dimensional low sample size activity recognition using geometric classifiers.
Digit. Signal Process., 2015

SGPD Volume Maximization for Community Detection.
CoRR, 2015

Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks.
CoRR, 2015

Parameterizing the Distance Distribution of Undirected Networks.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

User Churn Migration Analysis with DEDICOM.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

k-Maxoids Clustering.
Proceedings of the LWA 2015 Workshops: KDML, 2015

Modeling Sensation for an Intelligent Virtual Agent's Perception Process.
Proceedings of the Intelligent Virtual Agents - 15th International Conference, 2015

Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

How Viral Are Viral Videos?
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Automatic mapping of human behavior data to personality model parameters for traffic simulations in virtual environments.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Predicting Purchase Decisions in Mobile Free-to-Play Games.
Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2015

Large-Scale Cross-Game Player Behavior Analysis on Steam.
Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2015

2014
Human activity recognition by separating style and content.
Pattern Recognit. Lett., 2014

Künstliche Intelligenz für Computerspiele - Historische Entwicklung und aktuelle Trends.
Inform. Spektrum, 2014

Propagation Kernels.
CoRR, 2014

Strong Regularities in Growth and Decline of Popularity of Social Media Services.
CoRR, 2014

A Note on Archetypal Analysis and the Approximation of Convex Hulls.
CoRR, 2014

Marginalizing over the PageRank Damping Factor.
CoRR, 2014

Characterizations and Kullback-Leibler Divergence of Gompertz Distributions.
CoRR, 2014

Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions.
CoRR, 2014

Collective attention to social media evolves according to diffusion models.
Proceedings of the 23rd International World Wide Web Conference, 2014

Archetypal Game Recommender Systems.
Proceedings of the 16th LWA Workshops: KDML, 2014

Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images.
Proceedings of the 16th LWA Workshops: KDML, 2014

A Purely Geometric Approach to Non-Negative Matrix Factorization.
Proceedings of the 16th LWA Workshops: KDML, 2014

Center-Surround Contrast Features for Pedestrian Detection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Erosion Band Features for Cell Phone Image Based Plant Disease Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Informed Haar-Like Features Improve Pedestrian Detection.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

The Playtime Principle: Large-scale cross-games interest modeling.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Predicting player churn in the wild.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Synthetic perception for intelligent virtual agents.
Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play, Toronto, ON, Canada, October 19, 2014

Efficient Pose-Based Action Recognition.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Efficient Subframe Video Alignment Using Short Descriptors.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Data Mining and Pattern Recognition in Agriculture.
Künstliche Intell., 2013

Can Computers Learn from the Aesthetic Wisdom of the Crowd?
Künstliche Intell., 2013

Spectral evolution in dynamic networks.
Knowl. Inf. Syst., 2013

GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science
CoRR, 2013

Efficient Information Theoretic Clustering on Discrete Lattices.
CoRR, 2013

Computing the Kullback-Leibler Divergence between two Weibull Distributions.
CoRR, 2013

Efficient Mesoscopic Simulations for Persistent Agents in 3D-Applications and Games.
Proceedings of the 5th International Conference on Games and Virtual Worlds for Serious Applications, 2013

Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

A comparison of methods for player clustering via behavioral telemetry.
Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

Learning and Game AI.
Proceedings of the Artificial and Computational Intelligence in Games, 2013

Pathfinding in Games.
Proceedings of the Artificial and Computational Intelligence in Games, 2013

Discriminative Joint Non-negative Matrix Factorization for Human Action Classification.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

Behavior evolution in Tomb Raider Underworld.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Archetypical motion: Supervised game behavior learning with Archetypal Analysis.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Game Data Mining.
Proceedings of the Game Analytics, Maximizing the Value of Player Data, 2013

2012
Cognitive Aspects of Traffic Simulations in Virtual Environments.
Simul. Notes Eur., 2012

Agriculture's Technological Makeover.
IEEE Pervasive Comput., 2012

Descriptive matrix factorization for sustainability Adopting the principle of opposites.
Data Min. Knowl. Discov., 2012

Loveparade 2010: Automatic video analysis of a crowd disaster.
Comput. Vis. Image Underst., 2012

Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Simplex Distributions for Embedding Data Matrices over Time.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Matrix Factorization as Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Gait recognition by learning distributed key poses.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Who is doing what? Simultaneous recognition of actions and actors.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments.
Proceedings of the Entertainment Computing - ICEC 2012 - 11th International Conference, 2012

Efficient Learning for Hashing Proportional Data.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Guns, swords and data: Clustering of player behavior in computer games in the wild.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

How players lose interest in playing a game: An empirical study based on distributions of total playing times.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Convex non-negative matrix factorization for massive datasets.
Knowl. Inf. Syst., 2011

Insights into Internet Memes.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Analyzing pedestrian behavior in crowds for automatic detection of congestions.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Temporal key poses for human action recognition.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Action recognition by learning discriminative key poses.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Efficient and Robust Alignment of Unsynchronized Video Sequences.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

More influence means less work: fast latent dirichlet allocation by influence scheduling.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Automatic detection of dangerous motion behavior in human crowds.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010
Hierarchical Convex NMF for Clustering Massive Data.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Detecting Trends in Social Bookmarking Systems: A del.icio.us Endeavor.
Int. J. Data Warehous. Min., 2010

I tag, you tag: translating tags for advanced user models.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones.
Proceedings of the Information Security Theory and Practices. Security and Privacy of Pervasive Systems and Smart Devices, 2010

Convex NMF on Non-Convex Massiv Data.
Proceedings of the LWA 2010, 2010

The Good, the Bad, and the Ugly: Predicting Aesthetic Image Labels.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Reverse Indexing for Reading Graffiti Tags.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Malware Detection on Mobile Devices Using Distributed Machine Learning.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

The Snippet Statistics of Font Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Action Recognition in Videos Using Nonnegative Tensor Factorization.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Adapting Information Theoretic Clustering to Binary Images.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Age Recognition in the Wild.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Group Evolution Patterns in World of Warcraft.
Proceedings of the 40. Jahrestagung der Gesellschaft für Informatik, Service Science - Neue Perspektiven für die Informatik, INFORMATIK 2010, Leipzig, Germany, September 27, 2010

Yes we can: simplex volume maximization for descriptive web-scale matrix factorization.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Network growth and the spectral evolution model.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Analyzing the Evolution of Social Groups in World of Warcraft<sup>®</sup>.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

2009
Subspace manifold learning with sample weights.
Image Vis. Comput., 2009

Automatic detection of abnormal gait.
Image Vis. Comput., 2009

The slashdot zoo: mining a social network with negative edges.
Proceedings of the 18th International Conference on World Wide Web, 2009

Archetypal Images in Large Photo Collections.
Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

Adaptive wireless services for augmented environments.
Proceedings of the 6th Annual International Conference on Mobile and Ubiquitous Systems: Computing, 2009

Investigating CAPTCHAs Based on Visual Phenomena.
Proceedings of the Human-Computer Interaction, 2009

Convex Non-negative Matrix Factorization in the Wild.
Proceedings of the ICDM 2009, 2009

Making Archetypal Analysis Practical.
Proceedings of the Pattern Recognition, 2009

MALADY: A Machine Learning-Based Autonomous Decision-Making System for Sensor Networks.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

A distributed machine learning framework.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
The visual active memory perspective on integrated recognition systems.
Image Vis. Comput., 2008

A lightweight biometric signature scheme for user authentication over networks.
Proceedings of the 4th International ICST Conference on Security and Privacy in Communication Networks, 2008

Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Alternative similarity functions for graph kernels.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Probabilistic Diffusion Classifiers for Object Detection.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A discrete-time parallel update algorithm for distributed learning.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Image retrieval and Web 2.0 - where can we go from here?
Proceedings of the International Conference on Image Processing, 2008

Integral correlograms and probabilistic diffusion for image tagging.
Proceedings of the International Conference on Image Processing, 2008

Tailoring Taxonomies for Efficient Text Categorization and Expert Finding.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Modeling Collaborative Similarity with the Signed Resistance Distance Kernel.
Proceedings of the ECAI 2008, 2008

08391 Group Summary - Mining for Social Serendipity.
Proceedings of the Social Web Communities, 21.09. - 26.09.2008, 2008

Image Tagging Using PageRank over Bipartite Graphs.
Proceedings of the Pattern Recognition, 2008

2007
Learning Human Behavior from Analyzing Activities in Virtual Environments.
MMI Interakt., 2007

Bayesian imitation learning in game characters.
Int. J. Intell. Syst. Technol. Appl., 2007

An unsupervised hierarchical approach to document categorization.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

A new evaluation measure for information retrieval systems.
Proceedings of the IEEE International Conference on Systems, 2007

An intelligent knowledge sharing system for web communities.
Proceedings of the IEEE International Conference on Systems, 2007

The "Spree" Expert Finding System.
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

A Fast, Feature-based Cluster Algorithm for Information Retrieval.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

Tensor-Based Filter Design using Kernel Ridge Regression.
Proceedings of the International Conference on Image Processing, 2007

Robust Tensor Classifiers for Color Object Recognition.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

An Efficient Ontology-Based Expert Peering System.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

Towards 3D Internet: Why, What, and How?
Proceedings of the 2007 International Conference on Cyberworlds, 2007

Extracting Salient Points and Parts of Shapes Using Modified <i>k</i> d-Trees.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

Distance-Free Image Retrieval Based on Stochastic Diffusion over Bipartite Graphs.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Believability Testing and Bayesian Imitation in Interactive Computer Games.
Proceedings of the From Animals to Animats 9, 2006

Classification of Team Behaviors in Sports Video Games.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Bayesian Imitation of Human Behavior in Interactive Computer Games.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Benefits of Separable, Multilinear Discriminant Classification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Usability Evaluation for Image Retrieval Beyond Desktop Applications.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Tree-Based Signatures for Shape Classification.
Proceedings of the International Conference on Image Processing, 2006

Fast Learning for Customizable Head Pose Recognition in Robotic Wheelchair Control.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

Applying Ensembles of Multilinear Classifiers in the Frequency Domain.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Vision Systems with the Human in the Loop.
EURASIP J. Adv. Signal Process., 2005

Combining environmental cues & head gestures to interact with wearable devices.
Proceedings of the 7th International Conference on Multimodal Interfaces, 2005

Bounding box splitting for robust shape classification.
Proceedings of the 2005 International Conference on Image Processing, 2005

Image Space I<sup>3</sup> and Eigen Curvature for Illumination Insensitive Face Detection.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Separable Linear Discriminant Classification.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Face Recognition with Weighted Locally Linear Embedding.
Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005

Detecting Abnormal Gait.
Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005

Separable Linear Classifiers for Online Learning in Appearance Based Object Detection.
Proceedings of the Computer Analysis of Images and Patterns, 11th International Conference, 2005

Towards manifold learning for gamebot behavior modeling.
Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2005

2004
Intelligent Navigation in Image Databases.
Künstliche Intell., 2004

From Image Features To Symbols And Vice Versa - Using Graphs To Loop Data- And Model-Driven Processing In Visual Assembly Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2004

An XML Based Framework for Cognitive Vision Architectures.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Memory Consistency Validation in a Cognitive Vision System.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Synthesizing Movements for Computer Game Characters.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Mosaics from Arbitrary Stereo Video Sequences.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

A Cognitive Vision System for Action Recognition in Office Environments.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Combining speech and haptics for intuitive and efficient navigation through image databases.
Proceedings of the 5th International Conference on Multimodal Interfaces, 2003

Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behaviour for a Commercial Game.
Proceedings of the 4th International Conference on Intelligent Games and Simulation (GAME-ON 2003), 2003

Learning Human-Like Opponent Behavior for Interactive Computer Games.
Proceedings of the Pattern Recognition, 2003

A Structural Framework for Assembly Modeling and Recognition.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002
Evaluating Integrated Speech- and Image Understanding.
Proceedings of the 4th IEEE International Conference on Multimodal Interfaces (ICMI 2002), 2002

2001
Integrating Recognition Paradigms in a Multiple-Path Architecture.
Proceedings of the Advances in Pattern Recognition, 2001

Memorizing Visual Knowledge for Assembly Process Monitoring.
Proceedings of the Pattern Recognition, 2001

An integrated system for cooperative man-machine interaction.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Integrating Intelligent Machines with Humans for a Better Tomorrow, 2001

2000
Evaluation of Interest Point Detectors.
Int. J. Comput. Vis., 2000

Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects.
Proceedings of the Sensor Based Intelligent Robots, 2000

1999
Erkennung von Aggregaten aus Struktur und Handlung.
Künstliche Intell., 1999

1998
Comparing and Evaluating Interest Points.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998


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