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ECCV
2008
Springer
14 years 9 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Statistical method on nonrandom clustering with application to somatic mutations in cancer
Background: Human cancer is caused by the accumulation of tumor-specific mutations in oncogenes and tumor suppressors that confer a selective growth advantage to cells. As a conse...
Jingjing Ye, Adam Pavlícek, Elizabeth A. Lu...
TCSV
2008
125views more  TCSV 2008»
13 years 7 months ago
Exploring Co-Occurence Between Speech and Body Movement for Audio-Guided Video Localization
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
H. Vajaria, S. Sarkar, R. Kasturi
DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 9 months ago
Profiling and Clustering Internet Hosts
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
Songjie Wei, Jelena Mirkovic, Ezra Kissel
ICNP
2003
IEEE
14 years 25 days ago
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
Abstract—In the paper, we devise and evaluate a fully decentralized, light-weight, dynamic clustering algorithm for target tracking. Instead of assuming the same role for all the...
Wei-Peng Chen, Jennifer C. Hou, Lui Sha