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CRV
2006
IEEE
223views Robotics» more  CRV 2006»
16 years 7 days 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
IPPS
1996
IEEE
15 years 10 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
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
16 years 25 days 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...
CLUSTER
2009
IEEE
15 years 4 months 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 10 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