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ICASSP
2011
IEEE
14 years 9 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
MICCAI
2004
Springer
16 years 6 months ago
Bias in Resampling-Based Thresholding of Statistical Maps in fMRI
Selecting a threshold for the statistical parameter maps in functional MRI (fMRI) is a delicate matter. The use of advanced test statistics and/or the complex dependence structure ...
Ola Friman, Carl-Fredrik Westin
JCS
2010
135views more  JCS 2010»
15 years 3 months ago
New filtering approaches for phishing email
Phishing emails usually contain a message from a credible looking source requesting a user to click a link to a website where she/he is asked to enter a password or other confide...
André Bergholz, Jan De Beer, Sebastian Glah...
ICTIR
2009
Springer
15 years 3 months ago
An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
Intuitively, any `bag of words' approach in IR should benefit from taking term dependencies into account. Unfortunately, for years the results of exploiting such dependencies ...
Eduard Hoenkamp, Peter Bruza, Dawei Song, Qiang Hu...
PR
2007
146views more  PR 2007»
15 years 4 months ago
ML-KNN: A lazy learning approach to multi-label learning
Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Min-Ling Zhang, Zhi-Hua Zhou