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ICPR
2002
IEEE
14 years 10 months ago
Comparative Study on Mirror Image Learning (MIL) and GLVQ
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...
Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fum...
ICPR
2002
IEEE
14 years 10 months ago
Spatial Texture Analysis: A Comparative Study
Image texture analysis has received a considerable amount of attention over the last few years as it forms the basis of most object recognition methods. It has been suggested by a...
Maneesha Singh, Sameer Singh
CHI
2003
ACM
14 years 9 months ago
Recommending collaboration with social networks: a comparative evaluation
Studies of information seeking and workplace collaboration often find that social relationships are a strong factor in determining who collaborates with whom. Social networks prov...
David W. McDonald
NOCS
2009
IEEE
14 years 3 months ago
Comparing tightly and loosely coupled mesochronous synchronizers in a NoC switch architecture
With the advent of Networks-on-Chip (NoCs), the interest for mesochronous synchronizers is again on the rise due to the intricacies of skew-controlled chip-wide clock tree distrib...
Daniele Ludovici, Alessandro Strano, Davide Bertoz...
ACIVS
2009
Springer
14 years 3 months ago
Comparing Feature Matching for Object Categorization in Video Surveillance
In this paper we consider an object categorization system using local HMAX features. Two feature matching techniques are compared: the MAX technique, originally proposed in the HMA...
Rob G. J. Wijnhoven, Peter H. N. de With