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PDCN
2004
15 years 5 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
115
Voted
BILDMED
1998
116views Algorithms» more  BILDMED 1998»
15 years 5 months ago
Computer aided diagnosis of bone lesions in the facial skeleton
We present a system for computer aided diagnosis of bone tumors in the facial skeleton. There are many di erent lesions with radiographic manifestation in the jaws. Our system help...
Wolfgang Sörgel, Sabine Girod, Martin Szummer...
DAGSTUHL
2000
15 years 5 months ago
Similarity Measure Computation of Convex Polyhedra Revisited
We study the computation of rotation-invariant similarity measures of convex polyhedra, based on Minkowski's theory of mixed volumes. To compute the similarity measure, a (mix...
Jos B. T. M. Roerdink, Henk Bekker
130
Voted
ICONIP
1998
15 years 5 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
ALMOB
2006
80views more  ALMOB 2006»
15 years 3 months ago
Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics
The technique of Finite Markov Chain Imbedding (FMCI) is a classical approach to complex combinatorial problems related to sequences. In order to get efficient algorithms, it is k...
Grégory Nuel