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» Objective Functions for Feature Discrimination
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CLEF
2010
Springer
15 years 4 months ago
Cross-document Coreference for WePS
A good clustering performance depends on the quality of the distance function used to asses similarity. In this paper we propose a pairwise document coreference model to improve pe...
Iustin Dornescu, Constantin Orasan, Tatiana Lesnik...
ICIP
2007
IEEE
16 years 4 months ago
Fast Detection of Independent Motion in Crowds Guided by Supervised Learning
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
Yuan Li, Haizhou Ai
CEC
2005
IEEE
15 years 8 months ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
SEBD
1997
158views Database» more  SEBD 1997»
15 years 4 months ago
Indexing Metric Spaces with M-Tree
M-tree is a dynamic access method suitable to index generic “metric spaces”, where the function used to compute the distance between any two objects satisfies the positivity, ...
Paolo Ciaccia, Marco Patella, Fausto Rabitti, Pave...
NIME
2005
Springer
129views Music» more  NIME 2005»
15 years 8 months ago
Network Latency Adaptive Tempo in the Public Sound Objects System
In recent years Computer Network-Music has increasingly captured the attention of the Computer Music Community. With the advent of Internet communication, geographical displacemen...
Alvaro Barbosa, Jorge Cardoso, Gunter Geiger