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CVPR
2010
IEEE
15 years 6 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ICASSP
2010
IEEE
15 years 6 months ago
Partial sequence matching using an Unbounded Dynamic Time Warping algorithm
Before the advent of Hidden Markov Models(HMM)-based speech recognition, many speech applications were built using pattern matching algorithms like the Dynamic Time Warping (DTW) ...
Xavier Anguera, Robert Macrae, Nuria Oliver
JAIR
1998
198views more  JAIR 1998»
15 years 5 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
164
Voted
TEC
2002
133views more  TEC 2002»
15 years 5 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
EDM
2009
175views Data Mining» more  EDM 2009»
15 years 4 months ago
Detecting Symptoms of Low Performance Using Production Rules
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
Javier Bravo Agapito, Alvaro Ortigosa