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» On a theory of learning with similarity functions
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CVIU
2006
105views more  CVIU 2006»
13 years 7 months ago
The representation and matching of categorical shape
We present a framework for categorical shape recognition. The coarse shape of an object is captured by a multiscale blob decomposition, representing the compact and elongated part...
Ali Shokoufandeh, Lars Bretzner, Diego Macrini, M....
QUESTA
2008
89views more  QUESTA 2008»
13 years 7 months ago
The asymptotic variance rate of the output process of finite capacity birth-death queues
We analyze the output process of finite capacity birth-death Markovian queues. We develop a formula for the asymptotic variance rate of the form + vi where is the rate of outputs...
Yoni Nazarathy, Gideon Weiss
ICDE
2006
IEEE
194views Database» more  ICDE 2006»
14 years 9 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
ICIP
2003
IEEE
14 years 29 days ago
Shape metrics, warping and statistics
We propose to use approximations of shape metrics, such as the Hausdorff distance, to define similarity measures between shapes. Our approximations being continuous and different...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
ATAL
2003
Springer
14 years 27 days ago
Transition-independent decentralized markov decision processes
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...