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NECO
2010
129views more  NECO 2010»
13 years 3 months ago
A Two-Layer Model of Natural Stimuli Estimated with Score Matching
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
Urs Köster, Aapo Hyvärinen
ICANN
2007
Springer
13 years 11 months ago
A Two-Layer ICA-Like Model Estimated by Score Matching
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
Urs Köster, Aapo Hyvärinen
AVBPA
2005
Springer
320views Biometrics» more  AVBPA 2005»
13 years 10 months ago
A Principled Approach to Score Level Fusion in Multimodal Biometric Systems
A multimodal biometric system integrates information from multiple biometric sources to compensate for the limitations in performance of each individual biometric system. We propos...
Sarat C. Dass, Karthik Nandakumar, Anil K. Jain
IDA
2009
Springer
13 years 11 months ago
Estimating Markov Random Field Potentials for Natural Images
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Urs Köster, Jussi T. Lindgren, Aapo Hyvä...
JMLR
2010
191views more  JMLR 2010»
12 years 11 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen