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79
Voted
ICCV
2003
IEEE
16 years 3 days 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
78
Voted
GLOBECOM
2009
IEEE
15 years 5 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...
ICPR
2008
IEEE
15 years 4 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
81
Voted
EMMCVPR
2001
Springer
15 years 2 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
97
Voted
DAGM
2008
Springer
14 years 12 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