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ICPR
2002
IEEE
15 years 10 months ago
Graph of Neural Networks for Pattern Recognition
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
Hubert Cardot, Olivier Lezoray
ICASSP
2008
IEEE
15 years 4 months ago
Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...
SIBGRAPI
2008
IEEE
15 years 4 months ago
A New Training Algorithm for Pattern Recognition Technique Based on Straight Line Segments
Recently, a new Pattern Recognition technique based on straight line segments (SLSs) was presented. The key issue in this new technique is to find a function based on distances b...
João Henrique Burckas Ribeiro, Ronaldo Fumi...
BILDMED
2006
163views Algorithms» more  BILDMED 2006»
14 years 11 months ago
CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods
Abstract. Magnetic Resonance Spectroscopic Imaging (MRSI) measures relative concentrations of metabolites in vivo and can thus be used for the diagnosis of certain tumors. We intro...
B. Michael Kelm, Bjoern H. Menze, T. Neff, Christi...
NIPS
1996
14 years 11 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...