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» Parallel matrix algorithms and applications
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 9 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
BMCBI
2005
90views more  BMCBI 2005»
15 years 4 months ago
An algorithm for the determination and quantification of components of nucleic acid mixtures based on single sequencing reaction
Background: Determination and quantification of nucleic acid components in a mixture is usually accomplished by microarray approaches, where the mixtures are hybridized against sp...
Alexander E. Pozhitkov, Kathryn Stemshorn, Diethar...
APPROX
2006
Springer
130views Algorithms» more  APPROX 2006»
15 years 7 months ago
Robust Mixing
In this paper, we develop a new "robust mixing" framework for reasoning about adversarially modified Markov Chains (AMMC). Let P be the transition matrix of an irreducib...
Murali K. Ganapathy
VR
2011
IEEE
204views Virtual Reality» more  VR 2011»
14 years 7 months ago
Stable vision-aided navigation for large-area augmented reality
In this paper, we present a unified approach for a drift-free and jitter-reduced vision-aided navigation system. This approach is based on an error-state Kalman filter algorithm...
Taragay Oskiper, Han-Pang Chiu, Zhiwei Zhu, Supun ...
SAC
2009
ACM
15 years 11 months ago
Capturing truthiness: mining truth tables in binary datasets
We introduce a new data mining problem: mining truth tables in binary datasets. Given a matrix of objects and the properties they satisfy, a truth table identifies a subset of pr...
Clifford Conley Owens III, T. M. Murali, Naren Ram...