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» Clustering Techniques for Marbles Classification
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CORR
2007
Springer
170views Education» more  CORR 2007»
14 years 9 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
VLSISP
1998
140views more  VLSISP 1998»
14 years 9 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
BIOINFORMATICS
2005
71views more  BIOINFORMATICS 2005»
14 years 9 months ago
Semi-supervised protein classification using cluster kernels
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
ASWEC
2000
IEEE
15 years 2 months ago
ReVis: Reverse Engineering by Clustering and Visual Object Classification
This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt
79
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ICPR
2006
IEEE
15 years 10 months ago
A Template-Matching Approach for Protein Surface Clustering
Surface-based techniques for protein comparison and classification typically require a compact surface representation, capable of effectively condensing its description. In this p...
Alessandra Lumini, Lorenzo Baldacci, Matteo Golfar...