We address the problem of fusing colour information for face authentication. The performance of a face verification system in different colour spaces is experimentally studied first. The verification process is based on the normalised correlation measure within the LDA feature space. The confidence level of the measurement made is then calculated for each colour subspace. Confidence measures ar...

This paper tackles a challenging problem of inertial sensor-based recognition for similar gait action classes (such as walking on flat ground, up/down stairs, and up/down a slope). We solve three drawbacks of existing methods in the case of gait actions: the action signal segmentation, the sensor orientation inconsistency, and the recognition of similar action classes. First, to robustly segmen...

In this paper, we study two measures of classification complexity based on feature space partitioning: “purity” and “neighborhood separability.” The new measures of complexity are compared with probabilistic distance measures and a number of other nonparametric estimates of classification complexity on a total of 10 databases from the University of Calfornia, Irvine, (UCI)

Article history: Received 17 May 2011 Accepted 14 May 2012 Available online 24 May 2012

In this paper, we present a novel feature extraction approach based on Curvature Scale Space (CSS) for translation, scale, and rotation invariant recognition of hand poses. First, the CSS images are used to represent the shapes of boundary contours of hand poses. Then, we extract the multiple sets of CSS features to overcome the problem of deep concavities in contours of hand poses. Finally, ne...

One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...

Feature Space Mapping (FSM) model is based on a network explicitly modeling probability distribution of the input/output data vectors. New theoretical developments of this model and results of applications to several classification problems are presented.

Mosque architecture is considered as a potent visual symbol of the Islamic architects’ design ability. Prayer-hall as the manifestation of equality between the believers and the unity of architectural space has challenged such an ability throughout the history. This study, considering the characteristics of light-openings in the domes of Iranian mosques’ Prayer-hall, aims to investigate thes...