Journal of Pattern Recognition Research

In this paper, we propose an illumination normalization approach, which apparently improves the  face recognition accuracy in outdoor environments.

The automatic recognition of the modulation format of a detected signal, the intermediate step between signal detection and demodulation, is a major task of an intelligent receiver, with various civilian and military applications.

Compression of training sets is a technique for reducing training set size without degrading classification accuracy. By reducing the size of a training set, training will be more efficient in addition to saving storage space.

The recent technological progress in acquisition, modelling and processing of 3D data leads to the proliferation of a large number of 3D objects databases.

 In this work a comparison between two algorithms for image segmentation via the mean shift is carried out. These algorithms apply recursively the mean shift filtering by using the euclidean and infinity norms in order to define pixel neighborhoods.

The automated prediction of qualitative attributes such as software complexity is a desirable software engineering goal. A potential technique is to use software metrics as quantitative predictors for these kinds of attributes.

Steady state response of chemiresistive sensors like metal oxide and conducting polymer composite (CPC) exhibit a power law dependency on exposed analyte concentration/vapor pressure.

Multichannel information processing from a diverse range of channel information is highly time- and space-complex owing to the variety and enormity of underlying data.

Autonomous mobile robots require efficient control of their movement. There are several very good approaches for controlling autonomous robots under bound conditions; however, self-adaptation to dynamic environments is very complicated.