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» An Information-Theoretic Definition of Similarity
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ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 6 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
BIOTECHNO
2008
IEEE
14 years 2 months ago
Mathematical Description of Biological Structures and Mechanisms
A new formalism and approach to describing cellular and molecular processes and structures is introduced, designed to support the creation of knowledge bases of molecular and cell...
H. Joel Jeffrey
CG
2005
Springer
13 years 7 months ago
An image-based, trainable symbol recognizer for hand-drawn sketches
We describe a trainable, hand-drawn symbol recognizer based on a multi-layer recognition scheme. Symbols are internally represented as binary templates. An ensemble of four differ...
Levent Burak Kara, Thomas F. Stahovich
JODL
2006
136views more  JODL 2006»
13 years 7 months ago
An experimental effectiveness comparison of methods for 3D similarity search
Methods for content-based similarity search are fundamental for managing large multimedia repositories, as they make it possible to conduct queries for similar content, and to orga...
Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, To...
CORR
2010
Springer
110views Education» more  CORR 2010»
13 years 5 months ago
Learning Multi-modal Similarity
In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification,...
Brian McFee, Gert R. G. Lanckriet