Robert A. Jacobs

According to our database1, Robert A. Jacobs authored at least 38 papers between 1988 and 2016.

Collaborative distances :

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex.
J. Cognitive Neuroscience, 2016

A 3D shape inference model matches human visual object similarity judgments better than deep convolutional neural networks.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach.
PLoS Computational Biology, 2015

2014
A Concept Learning Approach to Multisensory Object Perception.
CoRR, 2014

Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasks.
Proceedings of the Human Vision and Electronic Imaging XIX, 2014

Transfer of object shape knowledge across visual and haptic modalities.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2012
A Rational Analysis of the Acquisition of Multisensory Representations.
Cognitive Science, 2012

2011
Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task?
Cognitive Science, 2011

Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity - Precision Tradeoffs.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Nonparametric Bayesian Model of Visual Short-Term Memory.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Visual Learning in Multisensory Environments.
topiCS, 2010

Integrated Approaches to Perceptual Learning.
topiCS, 2010

2008
Learning to Combine Motor Primitives Via Greedy Additive Regression.
Journal of Machine Learning Research, 2008

2007
Behavioral Shaping for Geometric Concepts.
Journal of Machine Learning Research, 2007

2006
The Costs of Ignoring High-Order Correlations in Populations of Model Neurons.
Neural Computation, 2006

Properties of Synergies Arising from a Theory of Optimal Motor Behavior.
Neural Computation, 2006

2003
Visual Development and the Acquisition of Motion Velocity Sensitivities.
Neural Computation, 2003

A Developmental Approach Aids Motor Learning.
Neural Computation, 2003

Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities.
Neural Computation, 2003

2002
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm.
Neural Computation, 2002

Visual Development Aids the Acquisition of Motion Velocity Sensitivities.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Visual Development and the Acquisition of Binocular Disparity Sensitivities.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

1999
Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual Depth.
Neural Computation, 1999

1997
A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures.
Neural Networks, 1997

Bias/Variance Analyses of Mixtures-of-Experts Architectures.
Neural Computation, 1997

1995
Methods for combining experts' probability assessments.
Neural Computation, 1995

1994
Hierarchical Mixtures of Experts and the EM Algorithm.
Neural Computation, 1994

Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary Representations.
Cognitive Science, 1994

1993
Learning piecewise control strategies in a modular neural network architecture.
IEEE Trans. Systems, Man, and Cybernetics, 1993

Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks.
Proceedings of the Machine Learning: From Theory to Applications, 1993

Supervised Learning and Divide-and-Conquer: A Statistical Approach.
Proceedings of the Machine Learning, 1993

1991
Adaptive Mixtures of Local Experts.
Neural Computation, 1991

Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks.
Cognitive Science, 1991

Hierarchies of Adaptive Experts.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
A Competitive Modular Connectionist Architecture.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989
Learning to Control an Unstable System with Forward Modeling.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988
Increased rates of convergence through learning rate adaptation.
Neural Networks, 1988


  Loading...