Gutmann, Michael - Department of Computer Science, University of Helsinki

E-print Network

FAQ • HELP • SITE MAP • CONTACT US

Powered by Explorit

Advanced Search

Gutmann, Michael - Department of Computer Science, University of Helsinki

Extracting Coactivated Features from Multiple Data Sets
BioMed Central Page 1 of 12
Michael Gutmann University of Helsinki ICANN2009: Learning Features by Contrasting Natural Images with Noise -p. 1/17 Learning Features by Contrasting Natural
STATISTICAL MODELS OF IMAGES AND EARLY VISION Aapo Hyvarinen, Patrik O. Hoyer, Jarmo Hurri, and Michael Gutmann
Noise-contrastive estimation of unnormalized statistical models, and its application to natural image statistics
Learning reconstruction and prediction of natural stimuli by a population of spiking neurons
Toward Data Representation with Formal Spiking Michael Gutmann
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models
Learning features by contrasting natural images Michael Gutmann1
Learning reconstruction and prediction of natural stimuli by a population of spiking
Learning encoding and decoding filters for data representation with a spiking neuron
Learning Natural Image Structure with a Horizontal Product Model
Bregman divergence as general framework to estimate unnormalized statistical models
Complex-Valued Independent Component Analysis of Natural Images
Michael U. Gutmann University of Helsinki ICANN 2011 -p. 1 Extracting Coactivated Features from