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» Group-Induced Vector Spaces
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112
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JAC
2008
15 years 2 months ago
Quantization of cellular automata
Take a cellular automaton, consider that each configuration is a basis vector in some vector space, and linearize the global evolution function. If lucky, the result could actually...
Pablo Arrighi, Vincent Nesme
121
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BMVC
2000
15 years 2 months ago
Recognising the Dynamics of Faces across Multiple Views
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...
Yongmin Li, Shaogang Gong, Heather M. Liddell
122
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CCGRID
2010
IEEE
15 years 1 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
111
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CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 24 days ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
ENTCS
2007
174views more  ENTCS 2007»
15 years 21 days ago
Quantum Patterns and Types for Entanglement and Separability
As a first step toward a notion of quantum data structures, we introduce a typing system for reflecting entanglement and separability. This is presented in the context of classi...
Simon Perdrix