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94
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NIPS
1998
15 years 29 days ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
124
Voted
CVPR
2000
IEEE
16 years 1 months ago
Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System
The engineering of computer vision systems that meet application speci c computational and accuracy requirements is crucial to the deployment of real-life computer vision systems....
Michael Greiffenhagen, Visvanathan Ramesh, Dorin C...
123
Voted
PAMI
2008
161views more  PAMI 2008»
14 years 11 months ago
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
108
Voted
ICML
2000
IEEE
15 years 4 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
105
Voted
AIPS
2007
15 years 1 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...