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» Comparing distributions and shapes using the kernel distance
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ECCV
2008
Springer
15 years 11 months ago
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching
Abstract. We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between...
Robert T. Collins, Weina Ge
IPSN
2003
Springer
15 years 2 months ago
Distance Based Decision Fusion in a Distributed Wireless Sensor Network
Target classification fusion problem in a distributed, wireless sensor network is investigated. We propose a distance-based decision fusion scheme exploiting the relationship betw...
Marco F. Duarte, Yu Hen Hu
PR
2007
116views more  PR 2007»
14 years 9 months ago
GAPS: A clustering method using a new point symmetry-based distance measure
In this paper, an evolutionary clustering technique is described that uses a new point symmetry-based distance measure. The algorithm is therefore able to detect both convex and n...
Sanghamitra Bandyopadhyay, Sriparna Saha
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
15 years 3 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
CVPR
2010
IEEE
15 years 5 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem