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IJON
1998
102views more  IJON 1998»
14 years 10 months ago
Developments of the generative topographic mapping
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
Christopher M. Bishop, Markus Svensén, Chri...
CORR
1999
Springer
67views Education» more  CORR 1999»
14 years 10 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh
NECO
1998
83views more  NECO 1998»
14 years 10 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
PR
2002
81views more  PR 2002»
14 years 10 months ago
Generalised correlation for multi-feature correspondence
Computing correspondences between pairs of images is fundamental to all structures from motion algorithms. Correlation is a popular method to estimate similarity between patches o...
C. V. Jawahar, P. J. Narayanan
SIGIR
2002
ACM
14 years 10 months ago
Probabilistic combination of text classifiers using reliability indicators: models and results
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifie...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz