Robert A. Jacobs

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 3

Top Topics

Constructive Induction

Object Representations

Salient Regions

Visual Search Tasks

Top Venues

PLoS Comput. Biol.

Human Vision and Electronic Imaging

Publications

Joseph German, Guofeng Cui, Chenliang Xu, Robert A. Jacobs
Rapid runtime learning by curating small datasets of high-quality items obtained from memory. PLoS Comput. Biol. 19 (10) (2023)
Goker Erdogan, Quanjing Chen, Frank Garcea, Bradford Z. Mahon, Robert A. Jacobs
Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex. J. Cogn. Neurosci. 28 (6) (2016)
Goker Erdogan, Robert A. Jacobs
A 3D shape inference model matches human visual object similarity judgments better than deep convolutional neural networks. CogSci (2016)
Goker Erdogan, Ilker Yildirim, Robert A. Jacobs
From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach. PLoS Comput. Biol. 11 (11) (2015)
Tommy P. Keane, Nathan D. Cahill, John A. Tarduno, Robert A. Jacobs, Jeff B. Pelz
Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasks. Human Vision and Electronic Imaging (2014)
Ifeoma Nwogu, Goker Erdogan, Ilker Yildirim, Robert A. Jacobs
A Concept Learning Approach to Multisensory Object Perception. CoRR (2014)
Goker Erdogan, Ilker Yildirim, Robert A. Jacobs
Transfer of object shape knowledge across visual and haptic modalities. CogSci (2014)
Ilker Yildirim, Robert A. Jacobs
A Rational Analysis of the Acquisition of Multisensory Representations. Cogn. Sci. 36 (2) (2012)
Emin Orhan, Robert A. Jacobs
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations. NIPS (2011)
Chris R. Sims, Robert A. Jacobs, David C. Knill
An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity - Precision Tradeoffs. CogSci (2011)
Emin Orhan, Robert A. Jacobs
A Nonparametric Bayesian Model of Visual Short-Term Memory. CogSci (2011)
Reiko Yakushijin, Robert A. Jacobs
Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task? Cogn. Sci. 35 (5) (2011)
Robert A. Jacobs
Integrated Approaches to Perceptual Learning. Top. Cogn. Sci. 2 (2) (2010)
Robert A. Jacobs, Ladan Shams
Visual Learning in Multisensory Environments. Top. Cogn. Sci. 2 (2) (2010)
Manu Chhabra, Robert A. Jacobs
Learning to Combine Motor Primitives Via Greedy Additive Regression. J. Mach. Learn. Res. 9 (2008)
Manu Chhabra, Robert A. Jacobs, Daniel Stefankovic
Behavioral Shaping for Geometric Concepts. J. Mach. Learn. Res. 8 (2007)
Melchi M. Michel, Robert A. Jacobs
The Costs of Ignoring High-Order Correlations in Populations of Model Neurons. Neural Comput. 18 (3) (2006)
Manu Chhabra, Robert A. Jacobs
Properties of Synergies Arising from a Theory of Optimal Motor Behavior. Neural Comput. 18 (10) (2006)
Volodymyr Ivanchenko, Robert A. Jacobs
A Developmental Approach Aids Motor Learning. Neural Comput. 15 (9) (2003)
Robert A. Jacobs, Melissa Dominguez
Visual Development and the Acquisition of Motion Velocity Sensitivities. Neural Comput. 15 (4) (2003)
Melissa Dominguez, Robert A. Jacobs
Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities. Neural Comput. 15 (1) (2003)
Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. Neural Comput. 14 (10) (2002)
Robert A. Jacobs, Melissa Dominguez
Visual Development Aids the Acquisition of Motion Velocity Sensitivities. NIPS (2002)
Melissa Dominguez, Robert A. Jacobs
Visual Development and the Acquisition of Binocular Disparity Sensitivities. ICML (2001)
Ione Fine, Robert A. Jacobs
Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual Depth. Neural Comput. 11 (6) (1999)
Robert A. Jacobs, Fengchun Peng, Martin A. Tanner
A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures. Neural Networks 10 (2) (1997)
Robert A. Jacobs
Bias/Variance Analyses of Mixtures-of-Experts Architectures. Neural Comput. 9 (2) (1997)
Robert A. Jacobs
Methods for combining experts' probability assessments. Neural Comput. 7 (5) (1995)
Robert A. Jacobs, Stephen M. Kosslyn
Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary Representations. Cogn. Sci. 18 (3) (1994)
Michael I. Jordan, Robert A. Jacobs
Hierarchical Mixtures of Experts and the EM Algorithm. Neural Comput. 6 (2) (1994)
Robert A. Jacobs, Michael I. Jordan
Learning piecewise control strategies in a modular neural network architecture. IEEE Trans. Syst. Man Cybern. 23 (2) (1993)
Michael I. Jordan, Robert A. Jacobs
Supervised Learning and Divide-and-Conquer: A Statistical Approach. ICML (1993)
Robert A. Jacobs, Michael I. Jordan, Andrew G. Barto
Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. Machine Learning: From Theory to Applications (1993)
Michael I. Jordan, Robert A. Jacobs
Hierarchies of Adaptive Experts. NIPS (1991)
Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton
Adaptive Mixtures of Local Experts. Neural Comput. 3 (1) (1991)
Robert A. Jacobs, Michael I. Jordan, Andrew G. Barto
Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. Cogn. Sci. 15 (2) (1991)
Robert A. Jacobs, Michael I. Jordan
A Competitive Modular Connectionist Architecture. NIPS (1990)
Michael I. Jordan, Robert A. Jacobs
Learning to Control an Unstable System with Forward Modeling. NIPS (1989)
Robert A. Jacobs
Increased rates of convergence through learning rate adaptation. Neural Networks 1 (4) (1988)