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» Graph-Theoretic Approach to Clustering and Segmentation
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DMIN
2006
120views Data Mining» more  DMIN 2006»
13 years 9 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
CVPR
2004
IEEE
14 years 9 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Improving Speaker Diarization by Cross EM Refinement
In this paper, we present a new speaker diarization system that improves the accuracy of traditional hierarchical clustering-based methods with little increase in computational co...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
ICIP
2002
IEEE
14 years 22 days ago
Two channels fuzzy c-means detection of multiple sclerosis lesions in multispectral MR images
A novel approach to the detection of multiple sclerosis (MS) lesions in T2- and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels ...
Daniele Peri, Edoardo Ardizzone, Roberto Pirrone, ...