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INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
13 years 8 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
TIT
2011
121views more  TIT 2011»
13 years 5 months ago
Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields
The general problem of defining and determining the sample distribution in the case of continuousparameter random fields, is addressed. Defining a distribution in the case of d...
Shahar Z. Kovalsky, Guy Cohen, Joseph M. Francos
MOC
1998
87views more  MOC 1998»
13 years 9 months ago
Tables of unit groups and class groups of quintic fields and a regulator bound
Using a new regulator bound we determine unit groups and class groups of the 289040 quintic algebraic number fields with absolute discriminant less than 2 × 107 (totally real fi...
Michael E. Pohst, K. Wildanger
CVPR
2003
IEEE
15 years 20 hour ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002
ICIP
2003
IEEE
14 years 11 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth