We present a fast video retrieval system with three novel characteristics. First, it exploits the methods of machine learning to construct automatically a hierarchy of small subsets of features that are progressively more useful for indexing. These subsets are induced by a new heuristic method called SortMerge feature selection, which exploits a novel combination of Fastmap for dimensionality r...

The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing the distance between MTS Receiver Operating Characteristics (ROC) curve and t...

Image segmentation is the classification of data sets into group of similar data points. This article proposed a method to determine the winner unit by self organizing mapping network. The distance between the input vector and the weight vector has been determined by mahalanobis distance and chooses the unit whose weight vector has the smallest mahalanobis distance from the input vector. The re...

the effectiveness of irap, remap, ssr, and issr markers were investigated to assess genetic diversity among and within eight medicago sativa l. populations. a total of 101, 119, 117 loci and 31 alleles were amplified using 10 irap, 14 remap, 16 issr and eight ssr primers, respectively. irap markers generated the maximum proportion of polymorphic loci per primer (pplp) while the maximum value of...

OBJECTIVE Here, we retrospectively investigate the value of voxel-wisely plotted diffusion tensor-derived (DTI) axial, radial and mean diffusivity for the early detection of malignant transformation (MT) in WHO II glioma compared to contrast-enhanced images. MATERIALS AND METHODS Forty-seven patients underwent brain magnetic resonance imaging follow-up between 2006-2014 after gross-tumor rese...

Whenever a feature extracted from an image has a unimodal distribution, information about its covariance matrix can be exploited for content-based retrieval using as dissimilarity measure the Bhattacharyya distance. To reduce the amount of computations and the size of logical database entry, we approximate the Bhattacharyya distance taking into account that most of the energy in the feature spa...

In this paper, we propose a dynamic signature verification system which integrates hybrid of Discrete Wavelet Transform and Discrete Fourier Transform (DWT-DFT) for feature extraction. In feature matching, Euclidean distance and Enveloped Euclidean distance (EED) (a variant of Euclidean distance) are used. Distances of features are fused into a final score value and used to classify whether a g...

In this paper, combined features of global and time-sequence were used as the characteristic parameters for speech emotional recognition. A new method based on formula of MMD (Modified Mahalanobis Distance) was proposed to decrease the estimated errors and simplify the calculation. Four emotions including happiness, anger, surprise and sadness are considered in the paper. 1000 recognizing sente...

Magnetic field (MF) has had many therapeutic usages in traditional medicine. Today, it is used to accelerate the recovery period after surgical operations by some medical centers and in some horse-training farms in the world. There are some scientific reports on the alternative effect of MF on nervous system function, convulsion, pain, neurons, embryonic cells and immune system cells. For this ...