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» Using Clustering Methods for Discovering Event Structures
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CVPR
2012
IEEE
11 years 11 months ago
Discovering and exploiting 3D symmetries in structure from motion
Many architectural scenes contain symmetric or repeated structures, which can generate erroneous image correspondences during structure from motion (Sfm) computation. Prior work h...
Andrea Cohen, Christopher Zach, Sudipta N. Sinha, ...
BMCBI
2007
128views more  BMCBI 2007»
13 years 8 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
COLING
2008
13 years 10 months ago
Detecting Multiple Facets of an Event using Graph-Based Unsupervised Methods
We propose a new unsupervised method for topic detection that automatically identifies the different facets of an event. We use pointwise Kullback-Leibler divergence along with th...
Pradeep Muthukrishnan, Joshua Gerrish, Dragomir R....
BMCBI
2006
127views more  BMCBI 2006»
13 years 8 months ago
Using local gene expression similarities to discover regulatory binding site modules
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...
DMS
2010
189views Multimedia» more  DMS 2010»
13 years 6 months ago
Visualizing the Commonalities Between Hierarchically Structured Data Queries
Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
Chad Jones, Ryan Armstrong, Kwan-Liu Ma