IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. Invariance representation is one of important functi...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— This paper introduces a novel design of an artificial neural network tailored for wafer-scale integration. The presented VLSI implementation includes continuous-time a...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...