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UAI
2000
13 years 8 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
TMI
2002
248views more  TMI 2002»
13 years 6 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
ISCA
2009
IEEE
161views Hardware» more  ISCA 2009»
14 years 1 months ago
AnySP: anytime anywhere anyway signal processing
In the past decade, the proliferation of mobile devices has increased at a spectacular rate. There are now more than 3.3 billion active cell phones in the world—a device that we...
Mark Woh, Sangwon Seo, Scott A. Mahlke, Trevor N. ...
ISQED
2006
IEEE
124views Hardware» more  ISQED 2006»
14 years 21 days ago
DFM Metrics for Standard Cells
Design for Manufacturability (DFM) is becoming increasingly important as process geometries shrink. Conventional design rule pass/fail is not adequate to quantify DFM compliance. ...
Robert C. Aitken
UIST
1995
ACM
13 years 10 months ago
Visual Interfaces for Solids Modeling
This paper exploresthe useof visualoperatorsfor solidsmodeling. We focus on designing interfaces for free-form operators such as blends, sweeps, and deformations, because these op...
Cindy Grimm, David Pugmire