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ITA
2006
167views Communications» more  ITA 2006»
13 years 9 months ago
Characterization of lung tumor subtypes through gene expression cluster validity assessment
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
Giorgio Valentini, Francesca Ruffino
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 4 months ago
Zonal Co-location Pattern Discovery with Dynamic Parameters
Zonal co-location patterns represent subsets of featuretypes that are frequently located in a subset of space (i.e., zone). Discovering zonal spatial co-location patterns is an im...
Mete Celik, James M. Kang, Shashi Shekhar
COMAD
2008
13 years 11 months ago
Discovering Interesting Subsets Using Statistical Analysis
In this paper we present algorithms for identifying interesting subsets of a given database of records. In many real life applications, it is important to automatically discover s...
Maitreya Natu, Girish Palshikar
ECCV
2006
Springer
14 years 11 months ago
Discovering Texture Regularity as a Higher-Order Correspondence Problem
Abstract. Understanding texture regularity in real images is a challenging computer vision task. We propose a higher-order feature matching algorithm to discover the lattices of ne...
James Hays, Marius Leordeanu, Alexei A. Efros, Yan...
MICCAI
2008
Springer
14 years 11 months ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland