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IJCNN
2008
IEEE
14 years 3 months ago
Lazy Self-Organizing Map and its behaviors
— The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo Kohonen. This study proposes the Lazy SelfOrganizing Map...
Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishi...
ICCSA
2004
Springer
14 years 2 months ago
Optical Flow Estimation via Neural Singular Value Decomposition Learning
Simone Fiori, Nicoletta Del Buono, Tiziano Politi
MLDM
2009
Springer
14 years 3 months ago
Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method
In two-class score-based problems the combination of scores from an ensemble of experts is generally used to obtain distributions for positive and negative patterns that exhibit a ...
Roberto Tronci, Giorgio Giacinto, Fabio Roli
ICANN
2010
Springer
13 years 9 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
ECCV
2010
Springer
14 years 1 months ago
ClassCut for Unsupervised Class Segmentation
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...