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» Generalizing Parametricity Using Information-flow
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ISPD
2006
ACM
90views Hardware» more  ISPD 2006»
14 years 3 months ago
Fast buffer insertion considering process variations
Advanced process technologies call for a proactive consideration of process variations in design to ensure high parametric timing yield. Despite of its popular use in almost any h...
Jinjun Xiong, Lei He
MICCAI
2010
Springer
13 years 7 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
IJCV
2006
112views more  IJCV 2006»
13 years 9 months ago
Non-Single Viewpoint Catadioptric Cameras: Geometry and Analysis
Conventional vision systems and algorithms assume the imaging system to have a single viewpoint. However, these imaging systems need not always maintain a single viewpoint. For ins...
Rahul Swaminathan, Michael D. Grossberg, Shree K. ...
ALT
1999
Springer
14 years 1 months ago
Extended Stochastic Complexity and Minimax Relative Loss Analysis
We are concerned with the problem of sequential prediction using a givenhypothesis class of continuously-manyprediction strategies. An e ectiveperformance measure is the minimax re...
Kenji Yamanishi
SMA
1997
ACM
120views Solid Modeling» more  SMA 1997»
14 years 1 months ago
The Generic Geometric Complex (GGC): A Modeling Scheme for Families of Decomposed Pointsets
: Modeling of families of geometric objects is a major topic in modern geometric and solid modeling. Object families are central to many important solid modeling applications, incl...
Ari Rappoport