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» Algorithm Selection using Reinforcement Learning
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CIKM
2011
Springer
14 years 2 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
CVPR
2009
IEEE
15 years 6 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
ICCV
2007
IEEE
16 years 4 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
WOWMOM
2005
ACM
240views Multimedia» more  WOWMOM 2005»
15 years 8 months ago
An Adaptive Routing Protocol for Ad Hoc Peer-to-Peer Networks
Ad hoc networks represent a key factor in the evolution of wireless communications. These networks typically consist of equal nodes that communicate without central control, inter...
Luca Gatani, Giuseppe Lo Re, Salvatore Gaglio
ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 2 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch