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Predicting the deformation based on landslide multi-mode monitor data is a critical issue of reliable data mining and comprehensive knowledge discovering of landslide for early warning. Due to the complex changes of multi-mode monitoring data and interaction effect caused by geological and geomorphological, hydrological, and anthropogenic factors, most of the deformation prediction methods cannot...
The Support Vector Machine (SVM) is a classical classification algorithm that has a wide range of application. With kernel function, SVM can dispose the datasets that are not linearly separable in their original feature space, making it more flexible in practical use compared with linear model. However, its complexity in training is an obstacle to large-scale dataset handling. This paper proposes...
Parkinson's disease (PD) and essential tremor (ET) are two kinds of tremor disorders which always confusing doctors in clinical diagnosis. Early experiments on structural MRI have already shown that Parkinson's disease can cause pathological changes in the brain region named Caudate_R (a part of Basal ganglia) while essential tremor cannot. Although there are many research work on the classification...
Due to the large amounts of energy consumption in the converter steelmaking production process, the furnace state generates a fierce chemical reaction, and accompanies with high temperature. In this paper, in order to accurately control and optimize the converter steelmaking production process, and guarantee the quality of products, the data analytics method based on least square support vector machine...
Parkinson's disease (PD) and essential tremor (ET) are two kinds of tremor disorders which always confusing doctors in clinical diagnosis. Early experiments have already shown that Parkinson's disease can cause pathological changes in the brain region named Caudate_R (a part of Basal ganglia) while essential tremor cannot. Although there are many research work on the classification of PD and ET, they...
Text detection in image is always a significant part in image semantic understanding, and detection of Uyghur text is a special and extensible application. In this paper, we propose a Uyghur text detection on the basis of the learning of a baseline structure, which generated from texture feature of the text. Firstly, texture features of the image are extracted and texts are classed by a SVM classifier,...
In this paper, a hardware implementation of Support Vector Machine (SVM) classifier for acceleration has been proposed based on pipelined adder, in which the speedups outperform other existing architectures. The adder whose critical path has been efficiently shortened by pipeline technology, constituted the main arithmetic elements in SVM processing. Therefore, a higher processing frequency and throughput...
Facial diagnosis is an important and very intuitive diagnostic method in Traditional Chinese Medicine (TCM). However, due to its qualitative and experience-based subjective property, traditional facial diagnosis has a certain limitation in clinical medicine, even in modern information diagnosis. The computerized inspection method provides quantitative model to evaluate facial complexion. This paper...
A novel approach for detecting anomaly in visual surveillance system is proposed in this paper. It is composed of three parts:(a) a dense motion field and motion statistics method, (b) one-class SVM for one-class classification, (c) motion directional PCA for feature dimensionality reduction. Experiments demonstrate the effectiveness of proposed algorithm in detecting abnormal events in surveillance...
Recently, more literatures proposed to apply audio content analysis techniques in content-based video parsing. This paper presents our current works on a speaker identification system for video content analysis. The system is different from normal ones in the following aspects: firstly, soundtrack extracted from video stream includes not only silence and speech, but also music and environmental sound;...
Recently, more literatures proposed to apply audio content analysis techniques in content-based video parsing. This paper presents our works on audio classification and speaker identification techniques for video content analysis. Firstly, soundtrack extracted from video stream is partitioned into homogeneous segments using rule and support vector machine(SVM) based classifier. Secondly, fixed-length...
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