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ECML
2005
Springer
13 years 10 months ago
Clustering and Metaclustering with Nonnegative Matrix Decompositions
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Liviu Badea
IAT
2005
IEEE
14 years 2 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
BMCBI
2008
166views more  BMCBI 2008»
13 years 8 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
ASPDAC
2009
ACM
102views Hardware» more  ASPDAC 2009»
14 years 3 months ago
Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction
Power delivery network (PDN) is a distributed RLC network with its dominant resonance frequency in the low-to-middle frequency range. Though high-performance chips’ working freq...
Yiyu Shi, Jinjun Xiong, Howard Chen, Lei He
JMIV
1998
130views more  JMIV 1998»
13 years 8 months ago
Topological Numbers and Singularities in Scalar Images: Scale-Space Evolution Properties
Singular points of scalar images in any dimensions are classified by a topological number. This number takes integer values and can efficiently be computed as a surface integral ...
Stiliyan Kalitzin, Bart M. ter Haar Romeny, Alfons...