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» A Support Vector Clustering Method
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DAS
2010
Springer
15 years 2 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
KES
2008
Springer
15 years 4 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 10 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
ATS
2003
IEEE
76views Hardware» more  ATS 2003»
15 years 9 months ago
STAGE: A Decoding Engine Suitable for Multi-Compressed Test Data
: Most of the recently discussed test stimulus data compression techniques are based on the low care bit densities found in typical scan test vectors. Data reduction primarily is a...
Bernd Koenemann
SI3D
2006
ACM
15 years 10 months ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...