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» Clustering Sequences of Complex Objects
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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 3 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
IJCNN
2000
IEEE
15 years 2 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
SCVMA
2004
Springer
15 years 3 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
TIT
2010
122views Education» more  TIT 2010»
14 years 4 months ago
Biological information as set-based complexity
The significant and meaningful fraction of all the potential information residing in the molecules and structures of living systems is unknown. Sets of random molecular sequences o...
David J. Galas, Matti Nykter, Gregory W. Carter, N...
ICCV
2003
IEEE
15 years 11 months ago
Using Temporal Coherence to Build Models of Animals
This paper describes a system that can build appearance models of animals automatically from a video sequence of the relevant animal with no explicit supervisory information. The ...
Deva Ramanan, David A. Forsyth