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ICONIP
2008
13 years 9 months ago
Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity
In this paper we present a comparison of multiple cluster algorithms and their suitability for clustering text data. The clustering is based on similarities only, employing the Kol...
Tina Geweniger, Frank-Michael Schleif, Alexander H...
DAM
1999
100views more  DAM 1999»
13 years 7 months ago
Complexity Analysis of Propositional Resolution with Autarky Pruning
An algorithm called Modoc", which has been introduced elsewhere, enhances propositional model elimination with autarky pruning, and other features. The model elimination meth...
Allen Van Gelder
ICCAD
1996
IEEE
144views Hardware» more  ICCAD 1996»
13 years 12 months ago
Validation coverage analysis for complex digital designs
The functional validation of a state-of-the-art digital design is usually performed by simulation of a register-transfer-level model. The degree to which the testvector suite cove...
Richard C. Ho, Mark Horowitz
IJHPCA
2008
104views more  IJHPCA 2008»
13 years 7 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
CANDC
2000
ACM
13 years 7 months ago
Sequence Complexity for Biological Sequence Analysis
A new statistical model for DNA considers a sequence to be a mixture of regions with little structure and regions that are approximate repeats of other subsequences, i.e. instance...
Lloyd Allison, Linda Stern, Timothy Edgoose, Trevo...