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» Surrogate data: A novel approach to object detection
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IROS
2009
IEEE
198views Robotics» more  IROS 2009»
15 years 4 months ago
Scalable learning for object detection with GPU hardware
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y...
COMSNETS
2012
199views more  COMSNETS 2012»
13 years 5 months ago
Varanus: More-with-less fault localization in data centers
Abstract—Detecting and localizing performance faults is crucial for operating large enterprise data centers. This problem is relatively straightforward to solve if each entity (a...
Vaishali P. Sadaphal, Maitreya Natu, Harrick M. Vi...
VMV
2003
151views Visualization» more  VMV 2003»
14 years 11 months ago
Optimized Spatial Hashing for Collision Detection of Deformable Objects
We propose a new approach to collision and self– collision detection of dynamically deforming objects that consist of tetrahedrons. Tetrahedral meshes are commonly used to repre...
Matthias Teschner, Bruno Heidelberger, Matthias M&...
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 1 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
PAMI
2010
249views more  PAMI 2010»
14 years 8 months ago
Object Detection with Discriminatively Trained Part-Based Models
—We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...
Pedro F. Felzenszwalb, Ross B. Girshick, David A. ...