This paper presents the optimization and hybrid parallelization of a spatial–spectral Feature Extraction (FE) method from hyperspectral images (HSI) using local covariance matrix (CM) representation, exploiting parallelism through multicore manycore processors. The aim is to evaluate performance parallel versions this innovative algorithm that characterizes information prior classification when...

Due to the increased disease occurrence rates in humans, need for Automated Disease Diagnosis (ADD) systems is also raised. Most of ADD are proposed support doctor during screening and decision making process. This research aims at developing a Computer Aided (CADD) scheme categorize brain tumour 2D MRI slices into Glioblastoma/Glioma class with better accuracy. The main contribution this work ...

Sequence of time-ordered events arise in a variety of applications like customer transaction databases, alarm sequences in telecommunication networks, fault logs in manufacturing plant data, web interaction logs, etc. A popular framework for temporal pattern extraction from such data is the frequent episode discovery paradigm. An episode is a set of nodes with a partial order prescribed on it, ...

Learning how to classify sensor data is one of the basic learning tasks in engineering. Data from sensors are usually made available over time and are classiied according to the behavior they exhibit in speciic time intervals. I address the problem of classifying nite, univariate, time series that are governed by unknown deterministic processes contaminated by noise. Time series in the same cla...

A new approach to the assessment of regional myocardial blood flow and fractional oxygen extraction has been developed using 15O-water (H2-15O) and 15O-hemoglobin (15O-Hb). Bolus doses (1 mCi) of H2-15O and 15O-Hb were injected 10 minutes apart into the left main coronary artery of 12 normal dogs. Sequential images of regional myocardial tracer clearance were obtained over 5 minutes with a posi...

OBJECTIVE To determine whether testosterone levels differ in male suicide attempters versus healthy controls and to explore the associations between testosterone levels and time of blood collection, and between testosterone levels and characteristics of suicide attempts. METHOD A sample of 112 male suicide attempters was studied. Thirty-seven male blood donors were recruited as controls. RE...

Motor imagery electroencephalogram (MI-EEG) is one of the most important brain-computer interface (BCI) signal. It vital to analyze MI-EEG for manipulation external BCI actuator. However, traditional methods usually undertake EEG feature extraction and classification separately, which may lose efficient information. behaves beyond our satisfaction multi-class MI activity evoked by space-close c...