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» Clustering via Matrix Powering
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ICIP
2008
IEEE
15 years 15 days ago
Fast adaptive Mahalanobis distance-based search and retrieval in image databases
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
Sharadh Ramaswamy, Kenneth Rose
ICML
2002
IEEE
14 years 11 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
MICCAI
2009
Springer
14 years 8 months ago
Multivariate Tensor-Based Brain Anatomical Surface Morphometry via Holomorphic One-Forms
Abstract. Here we introduce multivariate tensor-based surface morphometry using holomorphic one-forms to study brain anatomy. We computed new statistics from the Riemannian metric ...
Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. ...
ICML
2010
IEEE
13 years 12 months ago
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuch...
NAR
2010
148views more  NAR 2010»
13 years 5 months ago
SIMAP - a comprehensive database of pre-calculated protein sequence similarities, domains, annotations and clusters
The prediction of protein function as well as the reconstruction of evolutionary genesis employing sequence comparison at large is still the most powerful tool in sequence analysi...
Thomas Rattei, Patrick Tischler, Stefan Götz,...