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PRL
2006
139views more  PRL 2006»
13 years 9 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 7 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
ICDE
2012
IEEE
203views Database» more  ICDE 2012»
12 years 10 days ago
Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints
—The importance of introducing distance constraints to data dependencies, such as differential dependencies (DDs) [28], has recently been recognized. The metric distance constrai...
Shaoxu Song, Lei Chen 0002, Hong Cheng
CVPR
1999
IEEE
14 years 12 months ago
Probabilistic Recognition of Activity using Local Appearance
This paper addresses the problem of probabilistic recognition of activities from local spatio-temporal appearance. Joint statistics of space-time filters are employed to define hi...
Olivier Chomat, James L. Crowley
IJCNLP
2004
Springer
14 years 3 months ago
The Use of SVM for Chinese New Word Identification
We present a study of new word identification (NWI) to improve the performance of a Chinese word segmenter. In this paper the distribution and types of new words are discussed emp...
Hongqiao Li, Changning Huang, Jianfeng Gao, Xiaozh...