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ECCV
2006
Springer
16 years 2 months ago
Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints
Abstract. Fitting parameterized 3D shape and general reflectance models to 2D image data is challenging due to the high dimensionality of the problem. The proposed method combines ...
Dana Cobzas, Martin Jägersand, Neil Birkbeck,...
RECOMB
2009
Springer
16 years 1 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
75
Voted
ISCA
2007
IEEE
117views Hardware» more  ISCA 2007»
15 years 7 months ago
ReCycle: : pipeline adaptation to tolerate process variation
Process variation affects processor pipelines by making some stages slower and others faster, therefore exacerbating pipeline unbalance. This reduces the frequency attainable by t...
Abhishek Tiwari, Smruti R. Sarangi, Josep Torrella...
99
Voted
DAC
2009
ACM
15 years 7 months ago
PiCAP: a parallel and incremental capacitance extraction considering stochastic process variation
It is unknown how to include stochastic process variation into fast-multipole-method (FMM) for a full chip capacitance extraction. This paper presents a parallel FMM extraction us...
Fang Gong, Hao Yu, Lei He
100
Voted
FTML
2008
185views more  FTML 2008»
15 years 22 days ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan