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126
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CRV
2006
IEEE
223views Robotics» more  CRV 2006»
15 years 8 months ago
Disparity Map Estimation Using A Total Variation Bound
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an ob...
Wided Miled, Jean-Christophe Pesquet
124
Voted
IPPS
1996
IEEE
15 years 6 months ago
Practical Parallel Algorithms for Dynamic Data Redistribution, Median Finding, and Selection
A common statistical problem is that of nding the median element in a set of data. This paper presents a fastand portable parallel algorithm for nding the median given a set of el...
David A. Bader, Joseph JáJá
131
Voted
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 9 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
140
Voted
CLUSTER
2009
IEEE
15 years 11 days ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...
DAC
1996
ACM
15 years 6 months ago
A Parallel Precorrected FFT Based Capacitance Extraction Program for Signal Integrity Analysis
In order to optimize interconnect to avoid signal integrity problems, very fast and accurate 3-D capacitance extraction is essential. Fast algorithms, such as the multipole or prec...
Narayan R. Aluru, V. B. Nadkarni, James White