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» Parallel matrix algorithms and applications
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 11 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 6 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 10 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 10 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
16 years 1 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...