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ECCV
2008
Springer
14 years 9 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
CVPR
2005
IEEE
14 years 9 months ago
Full Body Tracking from Multiple Views Using Stochastic Sampling
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
Roland Kehl, Matthieu Bray, Luc J. Van Gool
ICASSP
2008
IEEE
14 years 1 months ago
A method for locating multiple sources from a frame of a large-aperture microphone array data without tracking
In this paper we present a new method for locating multiple sound sources using only a local segment of data from a large-aperture microphone array. The result of this work may be...
Hoang Do, Harvey F. Silverman
SCFBM
2008
119views more  SCFBM 2008»
13 years 6 months ago
Permutation - based statistical tests for multiple hypotheses
Background: Genomics and proteomics analyses regularly involve the simultaneous test of hundreds of hypotheses, either on numerical or categorical data. To correct for the occurre...
Anyela Camargo, Francisco Azuaje, Haiying Wang, Hu...
GLOBECOM
2008
IEEE
14 years 1 months ago
Cross-Layer Cooperative Triple Busy Tone Multiple Access for Wireless Networks
—In this paper, with the cross-layer design principle, a novel cooperative triple busy tone multiple access (CTBTMA) scheme is proposed for wireless networks to achieve cooperati...
Hangguan Shan, Ping Wang, Weihua Zhuang, Zongxin W...