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198
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CVPR
2012
IEEE
13 years 5 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
66
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ICPR
2008
IEEE
16 years 3 months ago
Image objects and multi-scale features for annotation detection
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over wh...
Eric Saund, Jindong Chen, Yizhou Wang
166
Voted
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 7 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
WEBI
2009
Springer
15 years 9 months ago
Adaptive Distributed Intrusion Detection Using Parametric Model
Due to the increasing demands for network security, distributed intrusion detection has become a hot research topic in computer science. However, the design and maintenance of the...
Jun Gao, Weiming Hu, Xiaoqin Zhang, Xi Li
155
Voted
PAMI
2011
14 years 5 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori