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NIPS
2001
13 years 8 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
UAI
2001
13 years 8 months ago
Linearity Properties of Bayes Nets with Binary Variables
It is "well known" that in linear models: (1) testable constraints on the marginal distribution of observed variables distinguish certain cases in which an unobserved ca...
David Danks, Clark Glymour
ICASSP
2009
IEEE
14 years 2 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales
TSP
2011
165views more  TSP 2011»
13 years 2 months ago
Quaternion ICA From Second-Order Statistics
—This paper addresses the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case and therefore only consider the quaterni...
Javier Vía, Daniel P. Palomar, Luis Vielva,...
TSP
2008
59views more  TSP 2008»
13 years 7 months ago
Optimization of Spatiotemporal Apertures in Channel Sounding
Abstract--In this paper, we investigate the impact of the spatiotemporal aperture of a channel sounding system equipped with antenna arrays at the transmitter and receiver on the a...
Troels Pedersen, Claus Pedersen, Xuefeng Yin, Bern...