Sciweavers

2826 search results - page 22 / 566
» Maximal Vector Computation in Large Data Sets
Sort
View
CGA
1999
13 years 7 months ago
Visualizing Large Telecommunication Data Sets
displays to abstract network data and let users interactwithit.Wehaveimplementedafull-scaleSwift3D prototype, which generated the examples we present here. Swift-3D We developed Sw...
Eleftherios Koutsofios, Stephen C. North, Daniel A...
ESANN
2008
13 years 9 months ago
Comparison of sparse least squares support vector regressors trained in primal and dual
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
Shigeo Abe
MVA
1990
123views Computer Vision» more  MVA 1990»
13 years 9 months ago
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System
Abstract When the data is processed from the digitized drawThis paper presents how the recently presented Randomized IIough Transform (RHT) method can be used as a part of an engin...
Pekka Kultanen, Erkki Oja, Lei Xu
BIRD
2008
Springer
162views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
Suffix Tree Characterization of Maximal Motifs in Biological Sequences
Finding motifs in biological sequences is one of the most intriguing problems for string algorithms designers due to, on the one hand, the numerous applications of this problem in...
Maria Federico, Nadia Pisanti
ICML
2000
IEEE
14 years 8 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore