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» A Statistical Clustering Model and Algorithm
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SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 6 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
CVPR
2011
IEEE
15 years 1 months ago
High-Frequency Shape and Albedo from Shading using Natural Image Statistics
We relax the long-held and problematic assumption in shape-from-shading (SFS) that albedo must be uniform or known, and address the problem of “shape and albedo from shading” ...
Jonathan Barron, Jitendra Malik
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 11 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
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ISPASS
2005
IEEE
15 years 10 months ago
Performance Analysis of a New Packet Trace Compressor based on TCP Flow Clustering
In this paper we study the properties of a new packet trace compression method based on clustering of TCP flows. With our proposed method, the compression ratio that we achieve i...
Raimir Holanda, Javier Verdú, Jorge Garc&ia...
ACL
1993
15 years 6 months ago
Towards the Automatic Identification of Adjectival Scales: Clustering Adjectives According to Meaning
In this paper we present a method to group adjectives according to their meaning, as a first step towards the automatic identification of adjectival scales. We discuss the propert...
Vasileios Hatzivassiloglou, Kathleen McKeown