Robert A. Jacobs - researchr alias

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Viewing Publication 1 - 38 from 38

2023

Rapid runtime learning by curating small datasets of high-quality items obtained from memoryJoseph German, Guofeng Cui, Chenliang Xu, Robert A. Jacobs. ploscb, 19(10), October 2023. [doi]

2016

Multisensory Part-based Representations of Objects in Human Lateral Occipital CortexGoker Erdogan, Quanjing Chen, Frank Garcea, Bradford Z. Mahon, Robert A. Jacobs. jocn, 28(6):869-881, 2016. [doi]

A 3D shape inference model matches human visual object similarity judgments better than deep convolutional neural networksGoker Erdogan, Robert A. Jacobs. cogsci 2016: [doi]

2015

From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought ApproachGoker Erdogan, Ilker Yildirim, Robert A. Jacobs. ploscb, 11(11), 2015. [doi]

2014

Transfer of object shape knowledge across visual and haptic modalitiesGoker Erdogan, Ilker Yildirim, Robert A. Jacobs. cogsci 2014: [doi]

Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasksTommy P. Keane, Nathan D. Cahill, John A. Tarduno, Robert A. Jacobs, Jeff B. Pelz. hvei 2014: [doi]

2012

A Rational Analysis of the Acquisition of Multisensory RepresentationsIlker Yildirim, Robert A. Jacobs. cogsci, 36(2):305-332, 2012. [doi]

2011

2010

Visual Learning in Multisensory EnvironmentsRobert A. Jacobs, Ladan Shams. topics, 2(2):217-225, 2010. [doi]

Integrated Approaches to Perceptual LearningRobert A. Jacobs. topics, 2(2):182-188, 2010. [doi]

2008

Learning to Combine Motor Primitives Via Greedy Additive RegressionManu Chhabra, Robert A. Jacobs. jmlr, 9:1535-1558, 2008. [doi]

2007

Behavioral Shaping for Geometric ConceptsManu Chhabra, Robert A. Jacobs, Daniel Stefankovic. jmlr, 8:1835-1865, 2007. [doi]

2006

Properties of Synergies Arising from a Theory of Optimal Motor BehaviorManu Chhabra, Robert A. Jacobs. neco, 18(10):2320-2342, 2006. [doi]

The Costs of Ignoring High-Order Correlations in Populations of Model NeuronsMelchi M. Michel, Robert A. Jacobs. neco, 18(3):660-682, 2006. [doi]

2003

Developmental Constraints Aid the Acquisition of Binocular Disparity SensitivitiesMelissa Dominguez, Robert A. Jacobs. neco, 15(1):161-182, 2003. [doi]

A Developmental Approach Aids Motor LearningVolodymyr Ivanchenko, Robert A. Jacobs. neco, 15(9):2051-2065, 2003. [doi]

Visual Development and the Acquisition of Motion Velocity SensitivitiesRobert A. Jacobs, Melissa Dominguez. neco, 15(4):761-781, 2003. [doi]

2002

Visual Development Aids the Acquisition of Motion Velocity SensitivitiesRobert A. Jacobs, Melissa Dominguez. nips 2003: 75-82 [doi]

Factorial Hidden Markov Models and the Generalized Backfitting AlgorithmRobert A. Jacobs, Wenxin Jiang, Martin A. Tanner. neco, 14(10):2415-2437, 2002. [doi]

2001

Visual Development and the Acquisition of Binocular Disparity SensitivitiesMelissa Dominguez, Robert A. Jacobs. icml 2001: 114-121

1999

Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual DepthI. Fine, Robert A. Jacobs. neco, 11(6):1297-1330, 1999.

1997

Bias/Variance Analyses of Mixtures-of-Experts ArchitecturesRobert A. Jacobs. neco, 9(2):369-383, 1997. [doi]

A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts ArchitecturesRobert A. Jacobs, Fengchun Peng, Martin A. Tanner. NN, 10(2):231-241, 1997. [doi]

1995

Methods for combining experts probability assessmentsRobert A. Jacobs. neco, 7(5):867-888, 1995. [doi]

1994

Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary RepresentationsRobert A. Jacobs, Stephen M. Kosslyn. cogsci, 18(3):361-386, 1994.

Hierarchical Mixtures of Experts and the EM AlgorithmMichael I. Jordan, Robert A. Jacobs. neco, 6(2):181-214, 1994. [doi]

1993

Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision TasksRobert A. Jacobs, Michael I. Jordan, Andrew G. Barto. siemens 1993: 175-202

Learning piecewise control strategies in a modular neural network architectureRobert A. Jacobs, Michael I. Jordan. tsmc, 23(2):337-345, 1993. [doi]

Supervised Learning and Divide-and-Conquer: A Statistical ApproachMichael I. Jordan, Robert A. Jacobs. icml 1993: 159-166

1991

Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision TasksRobert A. Jacobs, Michael I. Jordan, Andrew G. Barto. cogsci, 15(2):219-250, 1991.

Adaptive Mixtures of Local ExpertsRobert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton. neco, 3(1):79-87, 1991. [doi]

Hierarchies of Adaptive ExpertsMichael I. Jordan, Robert A. Jacobs. nips 1992: 985-992 [doi]

1990

A Competitive Modular Connectionist ArchitectureRobert A. Jacobs, Michael I. Jordan. nips 1991: 767-773 [doi]

1989

Learning to Control an Unstable System with Forward ModelingMichael I. Jordan, Robert A. Jacobs. nips 1990: 324-331 [doi]

1988

Increased rates of convergence through learning rate adaptationRobert A. Jacobs. NN, 1(4):295-307, 1988. [doi]

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