Sciweavers

66 search results - page 4 / 14
» Rough Set Theory of Pattern Classification in the Brain
Sort
View
AEPIA
2002
159views more  AEPIA 2002»
13 years 7 months ago
Analysing Rough Sets weighting methods for Case-Based Reasoning Systems
Case-Based Reasoning systems retrieve cases using a similarity function based on the K-NN or some derivatives. These functions are sensitive to irrelevant, interacting or noisy fe...
Maria Salamó, Elisabet Golobardes
IJCNN
2008
IEEE
14 years 2 months ago
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
—In motor imagery-based Brain Computer Interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the Common Spatial Pattern (CSP) algor...
Kai Keng Ang, Zhang Yang Chin, Haihong Zhang, Cunt...
FUZZIEEE
2007
IEEE
14 years 2 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen
BIRTHDAY
2003
Springer
14 years 28 days ago
Towards a Brain Compatible Theory of Syntax Based on Local Testability
Chomsky’s theory of syntax came after criticism of probabilistic associative models of word order in sentences. Immediate constituent structures are plausible but their descripti...
Stefano Crespi-Reghizzi, Valentino Braitenberg
ICASSP
2011
IEEE
12 years 11 months ago
Sparse common spatial patterns in brain computer interface applications
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
Fikri Goksu, Nuri Firat Ince, Ahmed H. Tewfik