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» Default Clustering from Sparse Data Sets
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WACV
2005
IEEE
14 years 2 months ago
Image Segmentation by Unsupervised Sparse Clustering
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...
Byoung-Ki Jeon, Yun-Beom Jung, Ki-Sang Hong
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
14 years 1 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
ECCV
2006
Springer
14 years 10 months ago
Level-Set Curve Particles
In many applications it is necessary to track a moving and deforming boundary on the plane from infrequent, sparse measurements. For instance, each of a set of mobile observers may...
Tingting Jiang, Carlo Tomasi
KAIS
2010
144views more  KAIS 2010»
13 years 7 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
14 years 2 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang