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CI
2005
106views more  CI 2005»
15 years 6 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 7 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi

Book
411views
17 years 4 months ago
Concrete Abstractions
"This book has evolved from materials used in an undergraduate course intended for final year undergraduate students whose background includes at least one year's experie...
Max Hailperin, Barbara Kaiser, and Karl Knight
CVPR
2001
IEEE
16 years 8 months ago
Handling Occlusions in Dense Multi-view Stereo
While stereo matching was originally formulated as the recovery of 3D shape from a pair of images, it is now generally recognized that using more than two images can dramatically ...
Sing Bing Kang, Richard Szeliski, Jinxiang Chai
184
Voted
CVPR
2006
IEEE
16 years 8 months ago
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, ...