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IJON
1998
102views more  IJON 1998»
15 years 2 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»
15 years 2 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»
15 years 2 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»
15 years 2 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
15 years 2 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