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» A Computational Model for Metric Spaces
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ICIP
2005
IEEE
14 years 11 months ago
Expression-invariant face recognition via spherical embedding
Recently, it was proven empirically that facial expressions can be modelled as isometries, that is, geodesic distances on the facial surface were shown to be significantly less se...
Alexander M. Bronstein, Michael M. Bronstein, Ron ...
EDBT
2006
ACM
145views Database» more  EDBT 2006»
14 years 9 months ago
Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds
Abstract. Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be compu...
Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
14 years 2 months ago
Exploiting the Tradeoff Between Precision and Cpu-Time to Speed Up Nearest Neighbor Search
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Pierre Roy, Jean-Julien Aucouturier, Franço...
JWSR
2007
114views more  JWSR 2007»
13 years 9 months ago
Development of Distance Measures for Process Mining, Discovery and Integration
: Business processes continue to play an important role in today’s service-oriented enterprise computing systems. Mining, discovering, and integrating process-oriented services h...
Joonsoo Bae, Ling Liu, James Caverlee, Liang-Jie Z...
PAMI
2012
11 years 11 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...