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JMLR
2010
165views more  JMLR 2010»
13 years 3 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
RAS
2008
135views more  RAS 2008»
13 years 8 months ago
Constructing dependable certainty grids from unreliable sensor data
-- Measurements from sensors as they are used for robotic grid map applications typically show behavior like degradation or discalibration over time, which affects the quality of t...
Wilfried Elmenreich
ISCI
2007
130views more  ISCI 2007»
13 years 8 months ago
Learning to classify e-mail
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...
Irena Koprinska, Josiah Poon, James Clark, Jason C...
ICIP
2004
IEEE
14 years 10 months ago
JPEG2000 vs. JPEG from an image retrieval point of view
It is well known that JPEG2000 has a variety of advantages over its predecessor JPEG. JPEG2000 not only allows images to be coded with clearly better visual image quality, it also...
Gerald Schaefer
DAC
2004
ACM
14 years 20 days ago
Statistical gate delay model considering multiple input switching
There is an increased dominance of intra-die process variations, creating a need for an accurate and fast statistical timing analysis. Most of the recent proposed approaches assum...
Aseem Agarwal, Florentin Dartu, David Blaauw