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CVPR
2009
IEEE
15 years 28 days ago
Discriminative Subvolume Search for Efficient Action Detection
Actions are spatio-temporal patterns which can be characterized by collections of spatio-temporal invariant features. Detection of actions is to find the re-occurrences (e.g. th...
Junsong Yuan (Northwestern University), Zicheng Li...
ICMCS
2010
IEEE
215views Multimedia» more  ICMCS 2010»
13 years 6 months ago
Efficient search of Top-K video subvolumes for multi-instance action detection
Action detection was formulated as a subvolume mutual information maximization problem in [8], where each subvolume identifies where and when the action occurs in the video. Desp...
Norberto A. Goussies, Zicheng Liu, Junsong Yuan
RAID
1999
Springer
13 years 10 months ago
Improving Intrusion Detection Performance using Keyword Selection and Neural Networks
The most common computer intrusion detection systems detect signatures of known attacks by searching for attack-specific keywords in network traffic. Many of these systems suffer ...
Richard Lippmann, Robert K. Cunningham
CVPR
2010
IEEE
14 years 1 months ago
Efficient Action Spotting based on a Spacetime Oriented Structure Representation
This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of...
Konstantinos Derpanis, Mikhail Sizintsev, Kevin Ca...
ECCV
2008
Springer
14 years 7 months ago
Face Alignment Via Component-Based Discriminative Search
In this paper, we propose a component-based discriminative approach for face alignment without requiring initialization1 . Unlike many approaches which locally optimize in a small ...
Lin Liang, Rong Xiao, Fang Wen, Jian Sun