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MVA
2007
155views Computer Vision» more  MVA 2007»
15 years 7 months ago
Pre-processing Algorithms on Digital Mammograms
Mammography is the best method for early mass detection. In order to limit the search for abnormalities by Computer Aided Diagnosis systems to the region of the breast without und...
Hengameh Mirzaalian, Mohammad Reza Ahmadzadeh, Sae...
ICASSP
2011
IEEE
14 years 9 months ago
Clustering of bootstrapped acoustic model with full covariance
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Xin Chen, Xiaodong Cui, Jian Xue, Peder Olsen, Joh...
PAMI
2008
197views more  PAMI 2008»
15 years 5 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
SEMWEB
2010
Springer
15 years 3 months ago
Ontology Similarity in the Alignment Space
Abstract. Measuring similarity between ontologies can be very useful for different purposes, e.g., finding an ontology to replace another, or finding an ontology in which queries c...
Jérôme David, Jérôme Euz...
ICIP
2001
IEEE
16 years 7 months ago
Generation of semantic cues for sports video annotation
The use of video and audio features for automated annotation of audio-visual data is becoming widespread. A major limitation of many of the current methods is that the stored inde...
Kieron Messer, Josef Kittler, Barbara Levienaise-O...