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» Data Mining from Functional Brain Images
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SAC
2010
ACM
15 years 4 months ago
Optimal linear projections for enhancing desired data statistics
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
Evgenia Rubinshtein, Anuj Srivastava
CACM
2010
161views more  CACM 2010»
15 years 4 months ago
Efficiently searching for similar images
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Kristen Grauman
ICPR
2004
IEEE
16 years 7 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ICPR
2006
IEEE
16 years 7 months ago
Feature selection for linear support vector machines
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
Zhizheng Liang, Tuo Zhao
IJCAI
2003
15 years 7 months ago
Dynamic Bayesian modeling of the cerebral activity
Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
Vincent Labatut, Josette Pastor, Serge Ruff