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» Identifying Objects Using Cluster and Concept Analysis
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ICIAR
2005
Springer
15 years 4 months ago
A Generic Shape Matching with Anchoring of Knowledge Primitives of Object Ontology
We have developed a generic ontology of objects, and a knowledge base of everyday physical objects. Objects are represented as assemblies of functional features and their spatial r...
Dongil Han, Bum-Jae You, Yong Se Kim, Il Hong Suh
PAKDD
2010
ACM
178views Data Mining» more  PAKDD 2010»
15 years 4 months ago
SkyDist: Data Mining on Skyline Objects
The skyline operator is a well established database primitive which is traditionally applied in a way that only a single skyline is computed. In this paper we use multiple skylines...
Christian Böhm, Annahita Oswald, Claudia Plan...
BMCBI
2008
102views more  BMCBI 2008»
14 years 11 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
ECCV
1998
Springer
16 years 1 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
15 years 8 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...