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» Identifying Objects Using Cluster and Concept Analysis
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CLA
2007
13 years 11 months ago
Representing Numeric Values in Concept Lattices
Formal Concept Analysis is based on the occurrence of symbolic attributes in individual objects, or observations. But, when the attribute is numeric, treatment has been awkward. In...
John L. Pfaltz
ICMCS
2007
IEEE
157views Multimedia» more  ICMCS 2007»
14 years 4 months ago
A Semantic Content Analysis Model for Sports Video Based on Perception Concepts and Finite State Machines
In automatic video content analysis domain, the key challenges are how to recognize important objects and how to model the spatiotemporal relationships between them. In this paper...
Liang Bai, Songyang Lao, Gareth J. F. Jones, Alan ...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 2 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
BMCBI
2010
144views more  BMCBI 2010»
13 years 10 months ago
Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model
Background: Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is gen...
Xin He, Moushumi Sen Sarma, Xu Ling, Brant W. Chee...
CSMR
2010
IEEE
13 years 4 months ago
A Heuristic-Based Approach to Identify Concepts in Execution Traces
Abstract--Concept or feature identification, i.e., the identification of the source code fragments implementing a particular feature, is a crucial task during software understandin...
Fatemeh Asadi, Massimiliano Di Penta, Giuliano Ant...