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» Robust information-theoretic clustering
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VIS
2004
IEEE
214views Visualization» more  VIS 2004»
15 years 11 months ago
Surface Reconstruction of Noisy and Defective Data Sets
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
Hui Xie, Kevin T. McDonnell, Hong Qin
CVPR
2011
IEEE
14 years 6 months ago
Generalized Projection Based M-Estimator: Theory and Applications
We introduce a robust estimator called generalized projection based M-estimator (gpbM) which does not require the user to specify any scale parameters. For multiple inlier structu...
Sushil Mittal, Saket Anand, Peter Meer
PAMI
2012
13 years 5 days ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 3 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
TITB
2010
148views Education» more  TITB 2010»
14 years 4 months ago
Coclustering for cross-subject fiber tract analysis through diffusion tensor imaging
Abstract--One of the fundamental goals of computational neuroscience is the study of anatomical features that reflect the functional organization of the brain. The study of physica...
Cui Lin, Darshan Pai, Shiyong Lu, Otto Muzik, Jing...