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ICCV
2003
IEEE
16 years 5 months ago
Learning a Classification Model for Segmentation
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
Xiaofeng Ren, Jitendra Malik
GLOBECOM
2009
IEEE
15 years 10 months ago
How Much Training Is Needed for Iterative Multiuser Detection and Decoding?
Abstract—This paper studies large randomly spread directsequence code-division multiple-access system operating over a block fading multipath channel. Channel knowledge is obtain...
Mikko Vehkaperä, Keigo Takeuchi, Ralf R. M&uu...
126
Voted
ICPR
2008
IEEE
15 years 10 months ago
Directional entropy feature for human detection
In this paper we propose a novel feature, called directional entropy feature (DEF), to improve the performance of human detection under complicated background in images. DEF descr...
Long Meng, Liang Li, Shuqi Mei, Weiguo Wu
120
Voted
EMMCVPR
2001
Springer
15 years 8 months ago
Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics
—Motivated by our recent work on rooted tree matching, in this paper we provide a solution to the problem of matching two free (i.e., unrooted) trees by constructing an associati...
Marcello Pelillo
143
Voted
DAGM
2008
Springer
15 years 5 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr