Justus H. Piater

Affiliations:
  • University of Innsbruck, Austria
  • INRIA Rhône-Alpes, France


According to our database1, Justus H. Piater authored at least 183 papers between 1998 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration.
CoRR, 2024

2023
Learning and extrapolation of robotic skills using task-parameterized equation learner networks.
Robotics Auton. Syst., February, 2023

Continual learning from demonstration of robotics skills.
Robotics Auton. Syst., 2023

Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints.
CoRR, 2023

Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling.
CoRR, 2023

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model.
CoRR, 2023

Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills.
CoRR, 2023

Differentiable Forward Kinematics for TensorFlow 2.
CoRR, 2023

Regularity as Intrinsic Reward for Free Play.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization.
Trans. Mach. Learn. Res., 2022

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance.
Trans. Mach. Learn. Res., 2022

DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction.
J. Artif. Intell. Res., 2022

Continual Learning from Demonstration of Robotic Skills.
CoRR, 2022

ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Learning Descriptor of Constrained Task from Demonstration.
CoRR, 2021

2020
Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions.
IEEE Robotics Autom. Lett., 2020

Using Machine Learning for Decreasing State Uncertainty in Planning.
J. Artif. Intell. Res., 2020

Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition.
Frontiers Robotics AI, 2020

Combining decision making and dynamical systems for monitoring and executing manipulation tasks.
Elektrotech. Informationstechnik, 2020

DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning.
CoRR, 2020

How do Offline Measures for Exploration in Reinforcement Learning behave?
CoRR, 2020

Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search.
CoRR, 2020

Evaluating the Progress of Deep Learning for Visual Relational Concepts.
CoRR, 2020

Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines.
Proceedings of the International Conference on Robotics, 2020

A Block-based IDE Extension for the ESP32.
Proceedings of the Robotics in Education - Methodologies and Technologies, Proceedings of the 11th RiE 2020, Virtual Event / Bratislava, Slovak Republic, September 30, 2020

ROSSINI: RobOt kidS deSIgn thiNkIng.
Proceedings of the Robotics in Education - Methodologies and Technologies, Proceedings of the 11th RiE 2020, Virtual Event / Bratislava, Slovak Republic, September 30, 2020

2019
Symbol Emergence in Cognitive Developmental Systems: A Survey.
IEEE Trans. Cogn. Dev. Syst., 2019

Action representations in robotics: A taxonomy and systematic classification.
Int. J. Robotics Res., 2019

Towards affordance detection for robot manipulation using affordance for parts and parts for affordance.
Auton. Robots, 2019

Pushing corridors for delivering unknown objects with a mobile robot.
Auton. Robots, 2019

Conditional Neural Movement Primitives.
Proceedings of the Robotics: Science and Systems XV, 2019

2018
Teaching a Robot the Semantics of Assembly Tasks.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Affordances in Psychology, Neuroscience, and Robotics: A Survey.
IEEE Trans. Cogn. Dev. Syst., 2018

Integrating multi-purpose natural language understanding, robot's memory, and symbolic planning for task execution in humanoid robots.
Robotics Auton. Syst., 2018

Exercising Affordances of Objects: A Part-Based Approach.
IEEE Robotics Autom. Lett., 2018

Learning Semantics of Gestural Instructions for Human-Robot Collaboration.
Frontiers Neurorobotics, 2018

Learning Movement Assessment Primitives for Force Interaction Skills.
CoRR, 2018

Online Adaptation of Robot Pushing Control to Object Properties.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection.
IEEE Trans. Cogn. Dev. Syst., 2017

Autonomous robots: potential, advances and future direction.
Elektrotech. Informationstechnik, 2017

A novel Skill-based Programming Paradigm based on Autonomous Playing and Skill-centric Testing.
CoRR, 2017

Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity.
CoRR, 2017

Computational models of affordance in robotics: a taxonomy and systematic classification.
Adapt. Behav., 2017

Can Affordances Guide Object Decomposition into Semantically Meaningful Parts?
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Autonomous Object Handover Using Wrist Tactile Information.
Proceedings of the Towards Autonomous Robotic Systems - 18th Annual Conference, 2017

Proactive, incremental learning of gesture-action associations for human-robot collaboration.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Autonomous skill-centric testing using deep learning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Visual task outcome verification using deep learning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Decreasing Uncertainty in Planning with State Prediction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Initial State Prediction in Planning.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Can computer vision problems benefit from structured hierarchical classification?
Mach. Vis. Appl., 2016

Learning undirected graphical models using persistent sequential Monte Carlo.
Mach. Learn., 2016

Active and Transfer Learning of Grasps by Kernel Adaptive MCMC.
CoRR, 2016

Active and Transfer Learning of Grasps by Sampling from Demonstration.
CoRR, 2016

Grasp Learning by Sampling from Demonstration.
CoRR, 2016

Hierarchical Haptic Manipulation for Complex Skill Learning.
CoRR, 2016

Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Robotic playing for hierarchical complex skill learning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

25 Years of CNNs: Can We Compare to Human Abstraction Capabilities?
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Learning V4 Curvature Cell Populations from Sparse Endstopped Cells.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Integration of Probabilistic Pose Estimates from Multiple Views.
Proceedings of the Computer Vision - ECCV 2016, 2016

Kronecker Decomposition for Image Classification.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016

A robust pushing skill for object delivery between obstacles.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
Structural Bootstrapping - A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge.
IEEE Trans. Auton. Ment. Dev., 2015

Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects.
Künstliche Intell., 2015

Scalable, accurate image annotation with joint SVMs and output kernels.
Neurocomputing, 2015

Diversity priors for learning early visual features.
Frontiers Comput. Neurosci., 2015

Making Better Robots - Beiträge Österreichs zur Europäischen Robotics Research Roadmap.
Elektrotech. Informationstechnik, 2015

Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411).
Dagstuhl Reports, 2015

The Effects of Social Gaze in Human-Robot Collaborative Assembly.
Proceedings of the Social Robotics - 7th International Conference, 2015

SCurV: A 3D descriptor for object classification.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Using structural bootstrapping for object substitution in robotic executions of human-like manipulation tasks.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

General Object Tip Detection and Pose Estimation for Robot Manipulation.
Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Reactive, task-specific object manipulation by metric reinforcement learning.
Proceedings of the International Conference on Advanced Robotics, 2015

Refining discovered symbols with multi-step interaction experience.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Human Smile Distinguishes between Collaborative and Solitary Tasks in Human-Robot Interaction.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

Negotiating Instruction Strategies during Robot Action Demonstration.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

Learning missing edges via kernels in partially-known graphs.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Probabilistic Detection of Pointing Directions for Human-Robot Interaction.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

CPS: 3D Compositional Part Segmentation through Grasping.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

IIS at ImageCLEF 2015: Multi-label Classification Task.
Proceedings of the Working Notes of CLEF 2015, 2015

Can Computer Vision Problems Benefit from Structured Hierarchical Classification?
Proceedings of the Computer Analysis of Images and Patterns, 2015

Learning Abstract Classes using Deep Learning.
Proceedings of the BICT 2015, 2015

Multi-label Object Categorization Using Histograms of Global Relations.
Proceedings of the 2015 International Conference on 3D Vision, 2015

2014
Multiview feature distributions for object detection and continuous pose estimation.
Comput. Vis. Image Underst., 2014

Complex affordance learning based on basic affordances.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Knowledge propagation and relation learning for predicting action effects.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Active learning of manipulation sequences.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Bootstrapping paired-object affordance learning with learned single-affordance features.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Emergent structuring of interdependent affordance learning tasks.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Joint SVM for Accurate and Fast Image Tagging.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
A Simple Ontology of Manipulation Actions Based on Hand-Object Relations.
IEEE Trans. Auton. Ment. Dev., 2013

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
IEEE Trans. Pattern Anal. Mach. Intell., 2013

ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition
CoRR, 2013

Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013
CoRR, 2013

Proceedings of the 2nd Workshop on Robots in Clutter: Preparing robots for the real world (Berlin, 2013).
CoRR, 2013

Using viseme recognition to improve a sign language translation system.
Proceedings of the 10th International Workshop on Spoken Language Translation: Papers, 2013

Unsupervised learning of predictive parts for cross-object grasp transfer.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Homogeneity analysis for object-action relation reasoning in kitchen scenarios.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

Modeling Pose/Appearance Relations for Improved Object Localization and Pose Estimation in 2D images.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

Efficient, General Point Cloud Registration with Kernel Feature Maps.
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

Continuous Pose Estimation in 2D Images at Instance and Category Levels.
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

Models of the Visual Cortex for Object Representation: Learning and Wired Approaches.
Proceedings of the Brain-Inspired Computing - International Workshop, 2013

A Study of Point Cloud Registration with Probability Product Kernel Functions.
Proceedings of the 2013 International Conference on 3D Vision, 2013

2012
RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Applying a learning framework for improving success rates in industrial bin picking.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Generalizing grasps across partly similar objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Generalized Exemplar-Based Full Pose Estimation from 2D Images without Correspondences.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
Object-Action Complexes: Grounded abstractions of sensory-motor processes.
Robotics Auton. Syst., 2011

Learning grasp affordance densities.
Paladyn J. Behav. Robotics, 2011

Learning visual representations for perception-action systems.
Int. J. Robotics Res., 2011

What a successful grasp tells about the success chances of grasps in its vicinity.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Probabilistic Object Models for Pose Estimation in 2D Images.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010
Learning Continuous Grasp Affordances by Sensorimotor Exploration.
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Development of Object and Grasping Knowledge by Robot Exploration.
IEEE Trans. Auton. Ment. Dev., 2010

Combining active learning and reactive control for robot grasping.
Robotics Auton. Syst., 2010

Using multi-modal 3D contours and their relations for vision and robotics.
J. Vis. Commun. Image Represent., 2010

Adapting Preshaped Grasping Movements Using Vision Descriptors.
Proceedings of the From Animals to Animats 11, 2010

The SignSpeak Project - Bridging the Gap Between Signers and Speakers.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

Learning probabilistic discriminative models of grasp affordances under limited supervision.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Refining grasp affordance models by experience.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Grasping with Vision Descriptors and Motor Primitives.
Proceedings of the ICINCO 2010, 2010

Hand Modeling and Tracking for Video-Based Sign Language Recognition by Robust Principal Component Analysis.
Proceedings of the Trends and Topics in Computer Vision, 2010

Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010

Affine Warp Propagation for Fast Simultaneous Modelling and Tracking of Articulated Objects.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
A Probabilistic Framework for 3D Visual Object Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Ground-Target Tracking in Multiple Cameras Using Collaborative Particle Filters and Principal Axis-Based Integration.
IPSJ Trans. Comput. Vis. Appl., 2009

Planning readings: a comparative exploration of basic algorithms.
Comput. Sci. Educ., 2009

Learning Visual Representations for Interactive Systems.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

Using 3D contours and their relations for cognitive vision and robotics.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

Active learning using mean shift optimization for robot grasping.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Learning Objects and Grasp Affordances through Autonomous Exploration.
Proceedings of the Computer Vision Systems, 2009

2008
Online Learning of Gaussian Mixture Models - a Two-Level Approach.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Probabilistic Pose Recovery Using Learned Hierarchical Object Models.
Proceedings of the Cognitive Vision, 4th International Workshop, 2008

A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking.
Proceedings of the Computer Vision, 2008

2007
Closed-Loop Learning of Visual Control Policies.
J. Artif. Intell. Res., 2007

Non-rigid object tracker based on a robust combination of parametric active contour and point distribution model.
Proceedings of the Visual Communications and Image Processing 2007, 2007

On-Line Rectification of Sport Sequences with Moving Cameras.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Sequential variational inference for distributed multi-sensor tracking and fusion.
Proceedings of the 10th International Conference on Information Fusion, 2007

Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

On-line Simultaneous Learning and Tracking of Visual Feature Graphs.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration.
Proceedings of the Computer Vision, 2007

2006
Unsupervised Learning of Dense Hierarchical Appearance Represe.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Data Fusion by Belief Propagation for Multi-Camera Tracking.
Proceedings of the 9th International Conference on Information Fusion, 2006

Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions.
Proceedings of the Machine Learning: ECML 2006, 2006

Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks.
Proceedings of the Machine Learning: ECML 2006, 2006

Robust Non-rigid Object Tracking Using Point Distribution Manifolds.
Proceedings of the Pattern Recognition, 2006

Multi-view Object Tracking Using Sequential Belief Propagation.
Proceedings of the Computer Vision, 2006

2005
Unsupervised Learning of Visual Feature Hierarchies.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Interactive learning of mappings from visual percepts to actions.
Proceedings of the Machine Learning, 2005

Fast 2D model-to-image registration using vanishing points for sports video analysis.
Proceedings of the 2005 International Conference on Image Processing, 2005

Tracking by Cluster Analysis of Feature Points and Multiple Particle Filters.
Proceedings of the Pattern Recognition and Image Analysis, 2005

Statistical Learning of Visual Feature Hierarchies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

Random Subwindows for Robust Image Classification.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Task-Driven Learning of Spatial Combinations of Visual Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

Biomedical Image Classification with Random Subwindows and Decision Trees.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Robust Non-Rigid Object Tracking Using Point Distribution Models.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

A modular multi-camera framework for team sports tracking.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

Object tracking using color interest points.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

Tracking by cluster analysis of feature points using a mixture particle filter.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

Reinforcement Learning of Perceptual Classes using Q Learning Updates.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
Introduction to the special issue: International Conference on Vision Systems.
Mach. Vis. Appl., 2004

Interactive Selection of Visual Features through Reinforcement Learning.
Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Robust incremental rectification of sports video sequences.
Proceedings of the British Machine Vision Conference, 2004

2003
A Comparison of Generic Machine Learning Algorithms for Image Classification.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

2001
Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot.
Robotics Auton. Syst., 2001

2000
Feature Learning for Recognition with Bayesian Networks.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Constructive Feature Learning and the Development of Visual Expertise.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Distinctive Features Should Be Learned.
Proceedings of the Biologically Motivated Computer Vision, 2000

1999
Interactively Training Pixel Classifiers.
Int. J. Pattern Recognit. Artif. Intell., 1999

A Framework for Learning Visual Discrimination.
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

Toward Learning Visual Discrimination Strategies.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Building pixel classifiers using the interactive teacher/learner (ITL) system.
Proceedings of the Proceedings Fourth IEEE Workshop on Applications of Computer Vision, 1998

A Randomized ANOVA Procedure for Comparing Performance Curves.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998


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