Sciweavers

2450 search results - page 34 / 490
» On Application of Structural Decomposition for Process Model...
Sort
View
161
Voted
ML
2010
ACM
181views Machine Learning» more  ML 2010»
15 years 2 months ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor
128
Voted
RECOMB
2009
Springer
16 years 4 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
149
Voted
MICCAI
2004
Springer
16 years 4 months ago
An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images
Abstract. A new hybrid of feature-based and intensity-based registration is presented. The algorithm reflects a new understanding of the role of alignment error in the generation o...
Charles V. Stewart, Ying-Lin Lee, Chia-Ling Tsai
130
Voted
ICASSP
2010
IEEE
15 years 2 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...
135
Voted
BMCBI
2004
128views more  BMCBI 2004»
15 years 3 months ago
Structural characterization of genomes by large scale sequence-structure threading: application of reliability analysis in struc
Background: We establish that the occurrence of protein folds among genomes can be accurately described with a Weibull function. Systems which exhibit Weibull character can be int...
Artem Cherkasov, Shannan J. Ho Sui, Robert C. Brun...