Sciweavers

5866 search results - page 10 / 1174
» An e-Process Selection Model
Sort
View
IJON
2002
83views more  IJON 2002»
14 years 9 months ago
Modeling temporal combination selective neurons of the songbird
Some neurons in the nucleus HVc of the songbird respond vigorously to sequences of syllables as they appear in the bird's own song (such as AB), but they respond weakly or no...
Patrick J. Drew, L. F. Abbott
ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 9 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
TSP
2010
14 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
TSP
2010
14 years 4 months ago
Doubly selective channel estimation using exponential basis models and subblock tracking
Three versions of a novel adaptive channel estimation approach, exploiting the over-sampled complex exponential basis expansion model (CE-BEM), is presented fordoubly selectivechan...
Jitendra K. Tugnait, Shuangchi He, Hyosung Kim
CCIW
2011
Springer
14 years 1 months ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato