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ATAL
2010
Springer
15 years 8 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
ICML
2010
IEEE
15 years 7 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider

Book
336views
17 years 3 months ago
C++: A Dialog
"Assuming that you want to learn C++, why should you read this book rather than any of dozens of other introductory C++ books? One difference between this book and other intro...
Steve Heller
CVPR
2000
IEEE
16 years 8 months ago
Agent-Based Moving Object Correspondence Using Differential Discriminative Diagnosis
We propose a novel method for temporally and spatially corresponding moving objects by automatically learning the relevance of the objects' appearance features to the task of...
Mahesh Saptharishi, John B. Hampshire II, Pradeep ...
CVPR
2008
IEEE
16 years 8 months ago
Hybrid body representation for integrated pose recognition, localization and segmentation
We propose a hybrid body representation that represents each typical pose by both template-like view information and part-based structural information. Specifically, each body par...
Cheng Chen, Guoliang Fan