Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Hiok Chai Quek"'
Publikováno v:
Information Sciences. 595:395-426
Publikováno v:
Pattern Recognition. 122:108281
A fast parallelable Jacobi iteration type optimization method for non-smooth convex composite optimization is presented. Traditional gradient-based techniques cannot solve the problem. Smooth approximate functions are attempted to be used as a replac
Publikováno v:
MVA
We propose an approach to resolve two issues in a recent proposed sparse reconstruction based, anomaly detection approach as a part of automated visual inspection (AVI). The original approach needs large computation and memory for high resolution pro
Publikováno v:
IFAC Proceedings Volumes. 30:451-456
The Expert Control [2][3] architecture is a significant step in the use of knowledge base to co-ordinate the algorithms in the control system. However, no guidelines is provided on the role and choice of rules within a provide supervisory. The Integr
Publikováno v:
ICASSP
Common Spatial Pattern (CSP) is widely used in discriminating two classes of EEG in Brain Computer Interface applications. However, the performance of the CSP algorithm is affected by noise and artifacts, and the problem is more pronounced in small t
Publikováno v:
ICPR
This paper presents an EEG-based emotion recognition system using self-organizing map for boundary detection. Features from EEG signals are classified by considering the subjects’ emotional responses using scores from SAM questionnaire. The selecti
Publikováno v:
IEEE Congress on Evolutionary Computation
Type-1 fuzzy system is able to provide an inference mechanism to reason with imprecise information, but it is unable to do so under linguistic and numerical uncertainties. While the incorporation of interval type-2 fuzzy set can offer a model for han
Autor:
Wi-Meng Tan, Hiok-Chai Quek
Publikováno v:
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence); 2008, p1733-1738, 6p
Publikováno v:
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence); 2008, p398-405, 8p
Publikováno v:
IJCNN
The restricted structure of fuzzy grid type based partitioning commonly employed in fuzzy model is limiting the fuzzy model on the whole to accurately describe the underlying distribution of data points in feature space. Common solution via the use o