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» Fractal Transforms and Feature Invariance
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ICML
2007
IEEE
14 years 8 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng
WIAMIS
2009
IEEE
14 years 2 months ago
The fast-3D spatio-temporal interest region detector
Spatio-temporal interest region detectors can be used in the analysis of video to determine sparse, informative regions as candidates for feature extraction. In this paper we comp...
Sander Koelstra, Ioannis Patras
VLSISP
2011
223views Database» more  VLSISP 2011»
13 years 2 months ago
Wideband Beamspace Processing Using Orthogonal Modal Beamformers
We introduce a novel beamspace processing structure that can be used for narrowband or wideband sources located either in nearfield or farfield of a sensor array. Main features o...
Thushara D. Abhayapala, Darren B. Ward
ICCV
2003
IEEE
14 years 9 months ago
Minimum Risk Distance Measure for Object Recognition
Recently, the optimal distance measure for a given object discrimination task under the nearest neighbor framework was derived [1]. For ease of implementation and efficiency consi...
Shyjan Mahamud, Martial Hebert
ADC
2007
Springer
170views Database» more  ADC 2007»
14 years 1 months ago
Pruning SIFT for Scalable Near-duplicate Image Matching
The detection of image versions from large image collections is a formidable task as two images are rarely identical. Geometric variations such as cropping, rotation, and slight p...
Jun Jie Foo, Ranjan Sinha