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TSMC
2002
144views more  TSMC 2002»
14 years 9 months ago
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
This paper introduces a new learning methodology to quickly generate accurate and simple linguistic fuzzy models, the cooperative rules (COR) methodology. It acts on the consequent...
Jorge Casillas, Oscar Cordón, Francisco Her...
NN
2002
Springer
161views Neural Networks» more  NN 2002»
14 years 9 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
NMELP
1994
15 years 2 months ago
Computing Stable and Partial Stable Models of Extended Disjunctive Logic Programs
In Prz91], Przymusinski introduced the partial (or 3-valued) stable model semantics which extends the (2-valued) stable model semantics dened originally by Gelfond and Lifschitz G...
Carolina Ruiz, Jack Minker
ESANN
2007
14 years 11 months ago
Visualisation of tree-structured data through generative probabilistic modelling
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
Nikolaos Gianniotis, Peter Tino
ICCV
2005
IEEE
15 years 12 months ago
A Multi-Scale Hybrid Linear Model for Lossy Image Representation
This paper introduces a simple and efficient representation for natural images. We partition an image into blocks and treat the blocks as vectors in a high-dimensional space. We t...
Wei Hong, John Wright, Kun Huang, Yi Ma