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ECCV
2004
Springer
16 years 2 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
IPPS
2007
IEEE
15 years 7 months ago
Leakage Energy Reduction in Value Predictors through Static Decay
As process technology advances toward deep submicron (below 90nm), static power becomes a new challenge to address for energy-efficient high performance processors, especially for...
Juan M. Cebrian, Juan L. Aragón, José...
113
Voted
ICS
1999
Tsinghua U.
15 years 5 months ago
Classifying load and store instructions for memory renaming
Memory operations remain a significant bottleneck in dynamically scheduled pipelined processors, due in part to the inability to statically determine the existence of memory addr...
Glenn Reinman, Brad Calder, Dean M. Tullsen, Gary ...
CVPR
2005
IEEE
16 years 2 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
114
Voted
CSDA
2011
14 years 7 months ago
Inferences on Weibull parameters with conventional type-I censoring
In this article we consider the statistical inferences of the unknown parameters of a Weibull distribution when the data are Type-I censored. It is well known that the maximum lik...
Avijit Joarder, Hare Krishna, Debasis Kundu