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ICCV
2009
IEEE
15 years 16 days ago
Optimizing Parametric Total Variation Models
One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization ...
Petter Strandmark, Fredrik Kahl, Niels Chr. Overga...
AII
1992
13 years 11 months ago
Learning from Multiple Sources of Inaccurate Data
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
Ganesh Baliga, Sanjay Jain, Arun Sharma
CVPR
2004
IEEE
14 years 9 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
ICPP
2009
IEEE
13 years 5 months ago
A Resource Optimized Remote-Memory-Access Architecture for Low-latency Communication
This paper introduces a new highly optimized architecture for remote memory access (RMA). RMA, using put and get operations, is a one-sided communication function which amongst ot...
Mondrian Nüssle, Martin Scherer, Ulrich Br&uu...
ICCV
2007
IEEE
14 years 9 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han