Searching for authors named "Jesse Hoey" – sorted by Relevance.
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Stereo Disparity from Local Image Phase
- Stereo Disparity from Local Image Phase Jesse Hoey June 2, 1999 Abstract This report describes a
- Cited by 1 (0 self) – Add To MetaCart
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Tracking using flocks of features, with application to assisted handwashing
- Tracking using Flocks of Features, with Application to Assisted Handwashing Jesse Hoey Division
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Hierarchical Unsupervised Learning of Event Categories
- We consider the problem of unsupervised classification of temporal sequences of events in video. This problem arises in the design of an adaptive visual agent, which must be capable of identifying appropriate classes of visual events to effectively complete its tasks. We present a multilevel dynamic
- Cited by 2 (0 self) – Add To MetaCart
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Solving POMDPs with Continuous or Large Discrete Observation Spaces
- Solving POMDPs with Continuous or Large Discrete Observation Spaces Jesse Hoey Department
- Cited by 13 (5 self) – Add To MetaCart
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An Analytic Solution to Discrete . . .
- Hoey jhoey@(email omitted); Dept. of Computer Science, University of Toronto, Toronto, Ontario, Canada
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Optimal and Approximate Stochastic Planning using Decision Diagrams
- Optimal and Approximate Stochastic Planning using Decision Diagrams Jesse Hoey Robert St-Aubin Alan
- Cited by 6 (0 self) – Add To MetaCart
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Semi-supervised learning of a pomdp model of patientcaregiver interactions. unpublished manuscript
- Semi-supervised learning of a POMDP model of Patient-Caregiver Interactions Jesse Hoey Pascal
- Cited by 2 (2 self) – Add To MetaCart
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Decision theoretic modeling of human facial displays
- Decision Theoretic Modeling of Human Facial Displays Jesse Hoey and James J. Little Department
- Cited by 7 (1 self) – Add To MetaCart
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Decision Theoretic Learning of Human Facial Displays and Gestures
- Decision Theoretic Learning of Human Facial Displays Jesse Hoey and James J. Little Department
- Cited by 2 (1 self) – Add To MetaCart
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An analytic solution to discrete bayesian reinforcement learning
- Hoey jhoey@(email omitted); Dept. of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Cited by 11 (3 self) – Add To MetaCart

