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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 7 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
CCIW
2011
Springer
14 years 10 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
ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
15 years 11 months ago
Stochastic modeling of a power-managed system: construction and optimization
-- The goal of a dynamic power management policy is to reduce the power consumption of an electronic system by putting system components into different states, each representing ce...
Qinru Qiu, Qing Wu, Massoud Pedram
ICIP
2009
IEEE
16 years 8 months ago
Circular Blurred Shape Model For Symbol Spotting In Documents
Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...
ICASSP
2010
IEEE
15 years 7 months ago
Beyond Doddington menagerie, a first step towards
During the last decade, speaker verification systems have shown significant progress and have reached a level of performance and accuracy that support their utilization in pract...
Juliette Kahn, Solange Rossato, Jean-Franço...