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» Robust object detection scheme using feature selection
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ECCV
2008
Springer
15 years 11 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
77
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SSWMC
2004
14 years 11 months ago
An informed synchronization scheme for audio data hiding
This paper deals with the problem of synchronization in the particular case of audio data hiding. In this kind of application the goal is to increase the information of an audio d...
Alejandro LoboGuerrero, Patrick Bas, Joel Lienard
CVPR
2007
IEEE
15 years 12 months ago
Learning Features for Tracking
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
Michael Grabner, Helmut Grabner, Horst Bischof
VRML
1997
ACM
15 years 2 months ago
V-COLLIDE: Accelerated Collision Detection for VRML
Collision detection is essential for many applications involving simulation, behavior and animation. However, it has been regarded as a computationallydemanding task and is often ...
Thomas C. Hudson, Ming C. Lin, Jonathan D. Cohen, ...
CCS
2009
ACM
15 years 4 months ago
Robust signatures for kernel data structures
Kernel-mode rootkits hide objects such as processes and threads using a technique known as Direct Kernel Object Manipulation (DKOM). Many forensic analysis tools attempt to detect...
Brendan Dolan-Gavitt, Abhinav Srivastava, Patrick ...