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PR
2006
127views more  PR 2006»
15 years 4 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
COLT
2008
Springer
15 years 6 months ago
Learning in the Limit with Adversarial Disturbances
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
Constantine Caramanis, Shie Mannor
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 10 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
ANOR
2010
135views more  ANOR 2010»
15 years 4 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
CVPR
2011
IEEE
14 years 8 months ago
Multiscale Geometric and Spectral Analysis of Plane Arrangements
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
Guangliang Chen, Mauro Maggioni