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» Computational models of classical conditioning
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146
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NECO
2006
118views more  NECO 2006»
15 years 4 months ago
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
Aapo Hyvärinen
CVPR
2011
IEEE
15 years 1 months ago
Robust Sparse Coding for Face Recognition
Recently the sparse representation (or coding) based classification (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse lin...
Meng Yang, Lei Zhang
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
15 years 5 months ago
On the use of multi-objective evolutionary algorithms for survival analysis
This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
Christian Setzkorn, Azzam Fouad George Taktak, Ber...
ICPR
2004
IEEE
16 years 6 months ago
Morphology Analysis of Physiological Signals Using Hidden Markov Models
We describe a clustering algorithm based on continuous Hidden Markov Models (HMM) to automatically classify both electrocardiogram (ECG) and intracranial pressure (ICP) beats base...
Daniel Novák, Lenka Lhotská, David C...
146
Voted
CVPR
2007
IEEE
15 years 11 months ago
Conformal Embedding Analysis with Local Graph Modeling on the Unit Hypersphere
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
Yun Fu, Ming Liu, Thomas S. Huang