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BMCBI
2006
119views more  BMCBI 2006»
13 years 6 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
SIGIR
2010
ACM
13 years 6 months ago
Optimal meta search results clustering
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
Claudio Carpineto, Giovanni Romano
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
13 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 ...
ASAP
2004
IEEE
140views Hardware» more  ASAP 2004»
13 years 10 months ago
Decimal Floating-Point Division Using Newton-Raphson Iteration
Decreasing feature sizes allow additional functionality to be added to future microprocessors to improve the performance of important application domains. As a result of rapid gro...
Liang-Kai Wang, Michael J. Schulte
AIPS
2008
13 years 8 months ago
Stochastic Planning with First Order Decision Diagrams
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
Saket Joshi, Roni Khardon