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» Gray-Level Reduction Using Local Spatial Features
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 5 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
AAAI
2010
15 years 3 months ago
Conformal Mapping by Computationally Efficient Methods
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
Stefan Pintilie, Ali Ghodsi
JMLR
2010
108views more  JMLR 2010»
15 years 4 days ago
Second-Order Bilinear Discriminant Analysis
Traditional analysis methods for single-trial classification of electro-encephalography (EEG) focus on two types of paradigms: phase-locked methods, in which the amplitude of the...
Christoforos Christoforou, Robert M. Haralick, Pau...
COSIT
2003
Springer
151views GIS» more  COSIT 2003»
15 years 7 months ago
Landscape Categories in Yindjibarndi: Ontology, Environment, and Language
This paper describes categories for landscape elements in the language of the Yindjibarndi people, a community of Indigenous Australians. Yindjibarndi terms for topographic featur...
David M. Mark, Andrew G. Turk
130
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3DOR
2010
14 years 8 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein