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BMCBI
2005
108views more  BMCBI 2005»
13 years 8 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
PAMI
2011
13 years 3 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez
CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 8 months ago
Multiresolution Approximation of Polygonal Curves in Linear Complexity
: We propose a new algorithm to the problem of polygonal curve approximation based on a multiresolution approach. This algorithm is suboptimal but still maintains some optimality b...
Pierre-Francois Marteau, Gildas Ménier
FUIN
2006
139views more  FUIN 2006»
13 years 8 months ago
Efficient Parallel Query Processing by Graph Ranking
In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorithm due to M...
Dariusz Dereniowski, Marek Kubale
ICCD
2008
IEEE
160views Hardware» more  ICCD 2008»
14 years 5 months ago
Fast arbiters for on-chip network switches
— The need for efficient implementation of simple crossbar schedulers has increased in the recent years due to the advent of on-chip interconnection networks that require low la...
Giorgos Dimitrakopoulos, Nikos Chrysos, Costas Gal...