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» Learning Models for Object Recognition
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CVPR
2011
IEEE
14 years 10 months ago
Random Field Topic Model for Semantic Region Analysis in Crowded Scenes from Tracklets
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
Bolei Zhou, Xiaogang Wang
SIGIR
2012
ACM
13 years 5 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 9 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
ICPR
2008
IEEE
16 years 4 months ago
Bag-of-visual-words models for adult image classification and filtering
We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although differ...
Hermann Ney, Lexi Pimenidis, Thomas Deselaers
ICIP
2009
IEEE
16 years 4 months ago
On The Role Of Context In Probabilistic Models Of Visual Saliency
In recent years, many principled probabilistic definitions for the determination of visual saliency have been proposed. Moreover, there has been increased focus on the role of con...