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Effective utilization of the available processing resources in current multi- and manycore systems primarily depends on the manual talent of the application programmer. This chapter analyses opportunities and suggests approaches to tackle the challenge of making proper use of parallel resources by means of a holistic, cross-layer and inter-disciplinary optimization of application, middleware and architecture...
This paper presents a machine learning classifier algorithm based on MOGA (Multi-Objective Genetic Algorithm), which applies the information entropy theory to optimize the MOGA and then can be used to discretize the continuous attributes. According to the practical problems, the fitness vector can be constructed by judging multi-objective functions to find the Pareto optimal solutions. Combining the...
In this paper we examine novel signal processing algorithms that utilize wavelet statistics, spectral statistics and power spectral density in addition to cadence and kurtosis for robust discrimination of humans and animals in an Unattended Ground Sensor (UGS) field. The wavelet statistics are based on the average, variance and energy of the third scale residue. The spectral statistics are based on...
This paper proposed how to recognize face image using learning classifier. The main idea of SVM is to give an optimal hyper-plane for two categories classification issues. The max value of k decision functions is used to decide sample data x belong to which class. Experimental result shows that the proposed face recognition algorithm is effective.
In this paper, an extraction and classification feature approach of biological sequences based on profiles built using an association analysis is proposed. The most important features of the approach are: i) The use of data mining techniques to perform knowledge extraction from biological sequences. Specifically an association analysis process is proposed as a methodology for discovering interesting...
In this article, we propose a scheme of detecting the information-hiding in videos based on the pairs of condition and joint distributions in the transform domains. Specifically, based on the approach of the Markov-process in JPEG image steganalysis and our previous work, we propose the pairs of condition and joint distribution of the neighbor difference in the transform domains, including discrete...
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g.. association rules) that hold within labeled data have been considered. In this paper, we propose a novel associative classification algorithm that combines rules and a decision tree structure. In a so-called delta-PDT (delta-pattern decision tree), nodes are made of selected...
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