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» Consistent Minimization of Clustering Objective Functions
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CBMS
2004
IEEE
15 years 10 months ago
Integrating Intensity and Boundary Information for Tissue Classification
A new algorithm is proposed for performing unsupervised tissue classification in medical images by integrating conventional clustering techniques with edge-adaptive segmentation t...
Dzung L. Pham
184
Voted
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
211
Voted
PAMI
2011
15 years 1 months ago
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Ke Chen, Shihai Wang
166
Voted
IPMI
2005
Springer
15 years 12 months ago
Robust Active Appearance Model Matching
A novel robust active appearance model (AAM) matching algorithm is presented. The method consists of two main stages. First, initial residuals are clustered by a non parametric mea...
Reinhard Beichel, Horst Bischof, Franz Leberl, Mil...
177
Voted
PVLDB
2010
166views more  PVLDB 2010»
15 years 4 months ago
Towards Elastic Transactional Cloud Storage with Range Query Support
Cloud storage is an emerging infrastructure that offers Platforms as a Service (PaaS). On such platforms, storage and compute power are adjusted dynamically, and therefore it is i...
Hoang Tam Vo, Chun Chen, Beng Chin Ooi