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» Consistent Minimization of Clustering Objective Functions
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CBMS
2004
IEEE
15 years 3 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
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
14 years 9 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
PAMI
2011
14 years 6 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
87
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IPMI
2005
Springer
15 years 5 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...
PVLDB
2010
166views more  PVLDB 2010»
14 years 10 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