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CVPR
2009
IEEE
15 years 2 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 5 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 9 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 6 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