Thomas L. Dean

According to our database, Thomas L. Dean authored at least 46 papers between 1986 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine.

Thomas L. Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Three Controversial Hypotheses Concerning Computation in the Primate Cortex.

Thomas L. Dean, Greg Corrado, Jonathon Shlens

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2009

Recursive Sparse, Spatiotemporal Coding.

Thomas L. Dean, Richard Washington, Greg Corrado

Proceedings of the 11th IEEE International Symposium on Multimedia, 2009

2007

On the Prospects for Building a Working Model of the Visual Cortex.

Thomas L. Dean, Glenn Carroll, Richard Washington

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2003

Solving factored MDPs using non-homogeneous partitions.

Kee-Eung Kim, Thomas L. Dean

Artif. Intell., 2003

Equivalence notions and model minimization in Markov decision processes.

Robert Givan, Thomas L. Dean, Matthew Greig

Artif. Intell., 2003

Exploiting Locality in Searching the Web.

Joel Young, Thomas L. Dean

Proceedings of the UAI '03, 2003

2002

Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams.

Kee-Eung Kim, Thomas L. Dean

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

2001

Solving Factored MDPs via Non-Homogeneous Partitioning.

Kee-Eung Kim, Thomas L. Dean

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Bounded-parameter Markov decision processes.

Robert Givan, Sonia M. Leach, Thomas L. Dean

Artif. Intell., 2000

Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers.

Kee-Eung Kim, Thomas L. Dean, Nicolas Meuleau

Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1999

Decision-Theoretic Planning: Structural Assumptions and Computational Leverage.

Craig Boutilier, Thomas L. Dean, Steve Hanks

J. Artif. Intell. Res., 1999

1998

Hierarchical Solution of Markov Decision Processes using Macro-actions.

Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Solving Stochastic Planning Problems with Large State and Action Spaces.

Thomas L. Dean, Robert Givan, Kee-Eung Kim

Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems, 1998

Solving Very Large Weakly Coupled Markov Decision Processes.

Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Coping with Uncertainty in Map Learning.

Kenneth Basye, Thomas L. Dean, Jeffrey Scott Vitter

Mach. Learn., 1997

Strategic Directions in Artificial Intelligence (Reprint).

Jon Doyle, Thomas L. Dean

AI Mag., 1997

Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes.

Thomas L. Dean, Robert Givan, Sonia M. Leach

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Model Minimization, Regression, and Propositional STRIPS Planning.

Robert Givan, Thomas L. Dean

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Model Minimization in Markov Decision Processes.

Thomas L. Dean, Robert Givan

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Planning and Scheduling.

Thomas L. Dean, Subbarao Kambhampati

Proceedings of the Computer Science and Engineering Handbook, 1997

1996

A Framework for the Development of Multiagent Architectures.

Moises Lejter, Thomas L. Dean

IEEE Expert, 1996

Strategic Directions in Artificial Intelligence.

Jon Doyle, Thomas L. Dean

ACM Comput. Surv., 1996

Challenge Problems for Artificial Intelligence (Panel Statements).

Bart Selman, Rodney A. Brooks, Thomas L. Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning.

Thomas L. Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron

Mach. Learn., 1995

Planning under Time Constraints in Stochastic Domains.

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson

Artif. Intell., 1995

Learning Dynamics: System Identification for Perceptually Challenged Agents.

Kenneth Basye, Thomas L. Dean, Leslie Pack Kaelbling

Artif. Intell., 1995

On the Complexity of Solving Markov Decision Problems.

Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Artificial intelligence - theory and practice.

Thomas L. Dean, James F. Allen, Yiannis Aloimonos

Benjamin/Cummings, ISBN: 978-0-8053-2547-8, 1995

1994

Deliberation Scheduling for Problem Solving in Time-Constrained Environments.

Mark S. Boddy, Thomas L. Dean

Artif. Intell., 1994

1993

Deliberation Scheduling for Time-Critical Sequential Decision Making.

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Planning With Deadlines in Stochastic Domains.

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992

A Decision-Theoretic Approach to Planning, Perception, and Control.

Kenneth Basye, Thomas L. Dean, Jak Kirman, Moises Lejter

IEEE Expert, 1992

1991

Sensor abstractions for control of navigation.

Jak Kirman, Kenneth Basye, Thomas L. Dean

Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

1990

Coping with Uncertainty in a Control System for Navigation and Exploration.

Thomas L. Dean, Kenneth Basye, Robert Chekaluk, Seungseok Hyun, Moises Lejter, Margaret Randazza

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

Persistence and probabilistic projection.

Thomas L. Dean, Keiji Kanazawa

IEEE Trans. Syst. Man Cybern., 1989

Map Learning with Indistinguishable Locations.

Kenneth Basye, Thomas L. Dean

Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

A Model for Projection and Action.

Keiji Kanazawa, Thomas L. Dean

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Solving Time-Dependent Planning Problems.

Mark S. Boddy, Thomas L. Dean

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988

Reasoning About Partially Ordered Events.

Thomas L. Dean, Mark S. Boddy

Artif. Intell., 1988

Probabilistic causal reasoning.

Thomas L. Dean, Keiji Kanazawa

Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

Probabilistic Temporal Reasoning.

Thomas L. Dean, Keiji Kanazawa

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

An Analysis of Time-Dependent Planning.

Thomas L. Dean, Mark S. Boddy

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

Temporal Data Base Management.

Thomas L. Dean, Drew V. McDermott

Artif. Intell., 1987

Incremental Causal Reasoning.

Thomas L. Dean, Mark S. Boddy

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986

Handling shared resources in a temporal data base management system.

Thomas L. Dean

Decis. Support Syst., 1986