Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of them can automatically adapt to the training data. We introduce and analyze a novel generalization of LBP that learns the most discriminative LBP-like features for each facial region in a supervised manner. Since the ...

We report a suboptimal wavelet packet (WP) representation of signals emanating from a chaotic attractor contaminated by low levels of noise. Our method—geared towards choosing a suboptimal scaling function to parsimoniously represent the signalinvolves extracting local eigenfunctions using artificial ensembles generated from a pseudo-probability space, and using the extracted local eigenfunctio...

in order to evaluate the ecological potential for assessing the ecotourism application a region was confined to dez river. mcharg method and networks method were applied. according to makhdoum’s method, to determine environmental units, the ecological resources of the region were surveyed. then evaluation of the ecological potential was carried out on the basis of ecotourism and qualified regio...

A new approach of constructing and training neural networks for pattern classi$cation is proposed. Data clusters are generated and trained sequentially based on distinct local subsets of the training data. Obtained clusters are then used to construct a feed-forward network, which is further trained using standard algorithms operating on the global training set. The network obtained using this a...