Kai Yu

According to our database1, Kai Yu
  • authored at least 79 papers between 2001 and 2015.
  • has a "Dijkstra number"2 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2015
Query Specific Rank Fusion for Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Bidirectional LSTM-CRF Models for Sequence Tagging.
CoRR, 2015

Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

2013
3D Convolutional Neural Networks for Human Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning.
CoRR, 2013

High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
CoRR, 2012

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
CoRR, 2012

Infinite Hidden Relational Models.
CoRR, 2012

Deep Learning of Invariant Features via Simulated Fixations in Video.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Query Specific Fusion for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2012, 2012

Object-Centric Spatial Pooling for Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Multi-component Models for Object Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Real-time clothing recognition in surveillance videos.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Contextual weighting for vocabulary tree based image retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning image representations from the pixel level via hierarchical sparse coding.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Correspondence driven adaptation for human profile recognition.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Large-scale image classification: Fast feature extraction and SVM training.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Efficient re-ranking in vocabulary tree based image retrieval.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Feature Selection for Gene Expression Using Model-Based Entropy.
IEEE/ACM Trans. Comput. Biology Bioinform., 2010

Videos Semantic Indexing using Image Classification.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Deep Coding Network.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Improved Local Coordinate Coding using Local Tangents.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

3D Convolutional Neural Networks for Human Action Recognition.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Image Classification Using Super-Vector Coding of Local Image Descriptors.
Proceedings of the Computer Vision - ECCV 2010, 2010

Efficient Highly Over-Complete Sparse Coding Using a Mixture Model.
Proceedings of the Computer Vision - ECCV 2010, 2010

Predicting Facial Beauty without Landmarks.
Proceedings of the Computer Vision - ECCV 2010, 2010

Supervised translation-invariant sparse coding.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Locality-constrained Linear Coding for image classification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
UCSC at Relevance Feedback Track.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

Fast nonparametric matrix factorization for large-scale collaborative filtering.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Nonlinear Learning using Local Coordinate Coding.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Large-scale collaborative prediction using a nonparametric random effects model.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Tutorial summary: Learning with dependencies between several response variables.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Linear spatial pyramid matching using sparse coding for image classification.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Learning multiple graphs for document recommendations.
Proceedings of the 17th International Conference on World Wide Web, 2008

Surveillance Event Detection.
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

Non-greedy active learning for text categorization using convex transductive experimental design.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Stochastic Relational Models for Large-scale Dyadic Data using MCMC.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Deep Learning with Kernel Regularization for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.
Proceedings of the Computer Vision, 2008

2007
Combining content and link for classification using matrix factorization.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Predictive Matrix-Variate t Models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Gaussian Process Models for Link Analysis and Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Fast Inference in Infinite Hidden Relational Models.
Proceedings of the Mining and Learning with Graphs, 2007

Robust multi-task learning with t-processes.
Proceedings of the Machine Learning, 2007

Local learning projections.
Proceedings of the Machine Learning, 2007

2006
Multi-Output Regularized Feature Projection.
IEEE Trans. Knowl. Data Eng., 2006

Infinite Hidden Relational Models.
Proceedings of the UAI '06, 2006

Stochastic Relational Models for Discriminative Link Prediction.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Supervised probabilistic principal component analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Collaborative ordinal regression.
Proceedings of the Machine Learning, 2006

Active learning via transductive experimental design.
Proceedings of the Machine Learning, 2006

Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Multi-label informed latent semantic indexing.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

A Probabilistic Clustering-Projection Model for Discrete Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Soft Clustering on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Gaussian processes from multiple tasks.
Proceedings of the Machine Learning, 2005

Dirichlet enhanced relational learning.
Proceedings of the Machine Learning, 2005

Hierarchy-Regularized Latent Semantic Indexing.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Multi-Output Regularized Projection.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Dirichlet Enhanced Latent Semantic Analysis.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Statistical learning approaches to information filtering.
PhD thesis, 2004

Probabilistic Memory-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2004

A nonparametric hierarchical bayesian framework for information filtering.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Learning Gaussian Process Kernels via Hierarchical Bayes.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Dirichlet Enhanced Latent Semantic Analysis.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Heterogenous Data Fusion via a Probabilistic Latent-Variable Model.
Proceedings of the Organic and Pervasive Computing, 2004

2003
Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*.
Knowl. Inf. Syst., 2003

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes.
Proceedings of the UAI '03, 2003

Knowing a tree from the forest: art image retrieval using a society of profiles.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning.
Proceedings of the Switching and Learning in Feedback Systems, 2003

Representative Sampling for Text Classification Using Support Vector Machines.
Proceedings of the Advances in Information Retrieval, 2003

A Hybrid Relevance-Feedback Approach to Text Retrieval.
Proceedings of the Advances in Information Retrieval, 2003

2002
Instance Selection Techniques for Memory-based Collaborative Filtering.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Removing redundancy and inconsistency in memory-based collaborative filtering.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address).
Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001

Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001


  Loading...