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When we use binary tree support vector machine (SVM) to work the multi-classification problems out, we always find that the structure of the binary tree has a large chance and it has a great influence on the classification efficiency of the classification model. To solve this problem, according to the idea of separating the most widely distributed class first, an improved binary tree SVM multiple...
Facial attractiveness computation is a challenging task because of the lack of labeled data and discriminative features. In this paper, an end-to-end label distribution learning (LDL) framework with deep convolutional neural network (CNN) and geometric features is proposed to meet these two challenges. Different from the previous work, we recast this task as an LDL problem. Compared with the single...
With the explosive growth of information on the Internet, it becomes more and more important to improve the efficiency of information acquisition. Automatic text summarization provides a good means for quick acquisition of information through compression and refinement. While existing methods for automatic text summarization achieve elegant performance on short sequences, however, they are facing...
3D sketch-based 3D model retrieval is to retrieve similar 3D models using users' hand-drawn 3D sketches as input. Compared with traditional 2D sketch-based retrieval, 3D sketch-based 3D model retrieval is a brand new and challenging research topic. In this paper, we employ advanced deep learning method and propose a novel 3D sketch based 3D model retrieval system. Our system has been comprehensively...
With the rapid growth of the mobile devices and increasingly diverse mobile services, the traditional mobile networks can hardly keep up with these trends. This asks for the 5G network to support ultra-large traffic and guarantee super-massive connections. Recently, the millimeter wave (mmWave) backhaul network is supposed to be a promising technology to significantly improve the network capacity...
Mura defect is a kind of common defects in thin-film-transistor liquid-crystal display (TFT-LCD). This paper proposes an effective detection method for mura defects based on background reconstruction and multi-channels fusion detection. Independent component analysis (ICA) is used to get a group of basis images from a set of faultless images for background reconstruction which will reserve the background...
In order to improve the recognition performance and avoid the high dimensional feature space by using multi-feature fusion technology, indexes of recognition capability entropy, feature recognition intensity, recognition information entropy, and feature weight are firstly defined. Then, the multi-feature fusion algorithm based on maximal recognition capability entropy and feature selection algorithm...
In complex urban traffic conditions, the accurate detection of vehicles is challenging to current vehicle detection methods. To achieve the precise vehicle detection in complex urban traffic conditions, we have proposed a vehicle detection method based on a deformable hybrid image template in this paper. Our method contains two steps: constructing our hybrid image template and its probability model,...
In complex urban traffic conditions, occlusion between vehicles is a common problem which is challenging to current vehicle detection methods. In this paper, we have proposed a vehicle detection method based on a part-based model which can deal with the occlusion problem. Our method includes two steps: constructing the part-based model and detecting vehicles from traffic images. In the first step,...
This paper presents a new similarity measure and matching scheme for content-based image retrieval (CBIR), based on modeling positive and negative hypotheses and testing a query image against these two hypotheses. The paper proposes to calculate first a universal image model (UIM), which is built based on a large set of images. The derived UIM is then used as a reference for the calculation of adapted...
In contact operations, haptic information plays a very important role on compensating the limitation of visual information. Therefore, there is growing interests in the application of force feedback to improve the perception of the operators in virtual training systems. Based on the analysis on the load of the force feedback system, a gain-scheduling fuzzy proportional-integral-derivative (PID) controller...
Pedestrian detection is of much importance for its practical applications. This paper develops a novel pedestrian detection system which consists of three stages: motion region detection based on background modeling, feature extraction in the guidance of prior information, and map-based classification applying support vector machine (SVM) and Adaboost. First of all, an adaptive Gaussian Mixture Model...
Pedestrians are key participants in transportation systems, so pedestrian detection in video surveillance systems is of great significance to the research and application of Intelligent Transportation Systems (ITS). We review some methods and models for vision-based pedestrian detection in recent years. In this paper, the pedestrian detection techniques are divided into macroscopic and microscopic...
A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which...
According to the new execution of 2010 International cardiopulmonary resuscitation (CPR) & Emergency Cardiovascular Care (ECC) Guide Standard above American Heart Association(AHA), this paper designs the main control system and the measurement system of CPR Simulation Control System based on SCM LPC932 and SCM LPC935. According to the strength of artificial respiration and cardiopulmonary press...
In this paper, we propose a new support vector approach for ordinal regression, which maximizes the sum of the margins of parallel discriminant hyperplanes. For ordinal regression, there are two strategies to take on the large margin principle: the fixed margin principle and the sum-of-margin principle. While the fixed margin strategy requires that the margins between two neighboring classes are equal...
On the basis of the function and significance of performance evaluation of college political instructors, and by the principle of performance evaluation, the performance evaluation index system of the college political instructors was established in three aspects, including working philosophy, daily work and academic research, and the mismatch between performance evaluation index system of the political...
Model order selection and parameter estimation for Gaussian mixture model (GMM) are important issues for clustering analysis and density estimation. Most methods for model selection usually add a penalty term in the objective function that can penalize the models and choose an optimal one from a set of candidate models. This paper presents a simple and novel approach to determine the number of components...
In this paper, we consider a three node relay channel with amplify-and-forward (AF) transmission mode. Instead of analyzing the cascaded source-relay-destination channel directly at the destination, we estimate the source-relay channel based on the received pilot signals and the pre-estimated channel of relay-destination link by inserted training at the relay. Given that the outage probability has...
The hypersphere support vector machine is an efficient method to distinguish the state of mechanism. The state of Power-Shift Steering Transmission (PSST) is studied using hypersphere support vector machine and Principal Component Analysis(PCA) with spectrometric oil analysis data. The fundamental of hypersphere support vector machine and PCA is researched. The influence of model parameters for performance...
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