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» Generalized Distance Functions in the Theory of Computation
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SIP
2001
14 years 11 months ago
A contribution to advanced theory of discrete signals and systems
The paper presents basic concepts of the discrete system theory from the viewpoint of Banach algebras and shows that some Banach algebras of sequences are not only suitable mathem...
Eduard Krajnik
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
15 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SGP
2007
15 years 3 days ago
Generalized surface flows for mesh processing
Geometric flows are ubiquitous in mesh processing. Curve and surface evolutions based on functional minimization have been used in the context of surface diffusion, denoising, sha...
Ilya Eckstein, Jean-Philippe Pons, Yiying Tong, C....
JCC
2007
90views more  JCC 2007»
14 years 9 months ago
Aromaticity in linear polyacenes: Generalized population analysis and molecular quantum similarity approach
Abstract: The relative aromaticity of benzenoid rings in the linear polyacenes is investigated using two novel aromaticity approaches. According to the first, the aromaticity of i...
Patrick Bultinck, Robert Ponec, Ramon Carbó...
SODA
2003
ACM
142views Algorithms» more  SODA 2003»
14 years 11 months ago
The similarity metric
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...
Ming Li, Xin Chen, Xin Li, Bin Ma, Paul M. B. Vit&...