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» On the Structure of Syntenic Distance
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NIPS
2004
14 years 11 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
CSDA
2006
67views more  CSDA 2006»
14 years 10 months ago
Sensitivity analysis of the strain criterion for multidimensional scaling
Multidimensional scaling (MDS) is a collection of data analytic techniques for constructing configurations of points from dissimilarity information about interpoint distances. Cla...
R. M. Lewis, M. W. Trosset
IJON
2006
89views more  IJON 2006»
14 years 10 months ago
Flexible kernels for RBF networks
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
André O. Falcão, Thibault Langlois, ...
PVLDB
2008
154views more  PVLDB 2008»
14 years 9 months ago
Indexing land surface for efficient kNN query
The class of k Nearest Neighbor (kNN) queries is frequently used in geospatial applications. Many studies focus on processing kNN in Euclidean and road network spaces. Meanwhile, ...
Cyrus Shahabi, Lu-An Tang, Songhua Xing
BMCBI
2011
14 years 1 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto