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Recurrent Neural Networks (RNNs) are naturally applicable to sequential processing and have achieved outstanding performance in analyzing natural language. However, RNN-based sequence labeling methods may encounter some problems, such as word ambiguous and low-fidelity of word segmentation, in sentiment parsing of Chinese microblogging texts because it cannot well grasp local contextual information...
Operating reliability has great significance for equipment condition monitoring and health evaluation. In terms of equipment to be evaluated, reliability assessment is a personalized problem. Traditional reliability assessment method relies on the probability and mathematical statistics methods, and has limited practical significance when it is used for real-time monitoring of a specific equipment...
With dramatically increasing of the spatial resolution of satellite imaging sensors, object-based image analysis (OBIA) has been gaining prominence in remote sensing applications. Multiscale image segmentation is a prerequisite step that splits an image into hierarchical homogeneous segmented objects for OBIA. However, scale selection remains a challenge in multiscale segmentation. In this study,...
Sentiment analysis, also known as opinion mining, seeks to figure out points of view from documents. Sentiment classification is a specific task of sentiment analysis that divides documents into positive and negative sentiment polarities according to the attitudes expressed. Feature extraction is a significant part of sentiment classification. Traditional feature extraction methods mine statistical...
Video summary is important for users to quickly understand the video content. In this paper, first, some selection principles of video content and an importance evaluation model of movie summary are analyzed. Then, a movie summary generation system which includes three subsystems such as video management and retrieval subsystem, video clips selection subsystem, and video summary generation subsystem...
The high-probability ictus of cardiovascular diseases as well as the rapid proliferation of personal wearable devices points to the emergence of machine aided automatic identification and diagnosis with electrocardiograph (ECG). Most of existing algorithms of the identification of normal/abnormal ECG waveforms are computationally complicated and time-consuming, which cannot couple with the constant...
As an emerging research area, event extraction from Twitter has attracted much attention since 2010. This paper attempts to provide a critical survey of the technical achievements in this area. It covers different aspects of the research, including the definition of the problem, existing approaches, and evaluation issues. Finally, in retrospect of what has been achieved so far, the survey also discusses...
In order to detect the health status of high-speed railway, various studies have been examined by Acoustic Emission (AE) method. However, little work has been done on studying the relationship between rail status and features of AE signals, and this relationship can be used to establish a detection criterion for rail health monitoring. This paper presents a methodology on rail health monitoring by...
Cartoon image annotation and retrieval is critical for cartoonists to effectively and efficiently make cartoons by reusing existing cartoon data. To successfully achieve these tasks, it is essential to build an abundant cartoon database first and then annotate and retrieve them efficiently. This paper studies and realizes a cartoon images annotation and retrieval system which supports interactive...
Writing-in-the-air (WIA) system provides a novel input experience using the fingertip as a virtual pen based on the color and depth information from only one Kinect camera. We present a new fingertip detection and tracking framework for the robust and realtime fingertip position estimation and further improve the air-writing character recognition accuracy. Firstly, we propose a new physical constraint...
Assigning biological function to uncharacterized proteins is a fundamental problem in the post-genomic age. The increasing availability of large amounts of data on protein sequences has led to the emergence of developing effective computational methods for quickly and accurately predicting their functions. In this work, we extract 353 numerical features from sequences based not only on physiochemical...
This paper presents a neural network (NN) based multimodal fusion classifier for automatic emotion recognition. The audio and visual channels provide complementary information, so we utilize features from three behavioral cues: frontal-view facial expression, profile-view facial expression and vocalization (audio). The problem of interest is to recognize basic emotions, and we use dimensional representation...
In this paper, inner-pulse parameters model and ambiguity function of Costas signals are built and calculated. The cyclic spectral features extracting algorithm in non-cooperative receiving context are proposed using ACP cyclic spectral estimating method. The normalized RMS error (NRMSE) of Costas signals is measured to verify the validity of the algorithm.
Salient region-based image retrieval is one of the hotspots in the domain of content-based image retrieval; however the metrics about region saliency is not in the uniform frame. The research on visual attention has shown that the factors including color, texture, scale and position influence on visual perception mostly. Consequently, the algorithm of salient region extraction is proposed by using...
Detecting pedestrian accurately from natural scenes makes the important impact on intelligent video surveillance. In this paper, we combine motion information, human skin color information, human shape information and variation of ambient lighting to detect pedestrians for the application of automated video surveillance. The moving objects in the video sequence images are extracted using the multi-frame...
Network and system security is of paramount importance in the present data communication environment. Hackers and intruders can create many successful attempts to cause the crash of the networks and web services by unauthorized intrusion. New threats and associated solutions to prevent these threats are emerging together with the secured system evolution. Intrusion Detection Systems (IDS) are one...
The consumption of watermelon relies on the guarantee of a high quality product recently. In internal and external qualities of melons, maturity is the most important factor, which is hard to evaluate. The objective of this research was to develop a feasible non-destructive procedure for ripeness detection based on the feature of acoustic impulse response. Four features/parameters were examined for...
In this paper, we present a framework to recognize facial expressions from image sequences. Our method uses optical flow to track feature points in sequential facial frames, and computes normalized displacements of key feature points and certain standardized geometric distances to form a matrix, called facial-expression-arising-dataset (FEAD). Each FEAD represents an expression image sequence (from...
Video text provides high-level semantic information. However, due to the complex background in video, it is of great difficulty to extract text efficiently. Although many methods hold assumptions on single feature, such as texture, connected areas etc., there are still some problems in dealing with multilingual text extraction because of its quite different appearance. In this paper, the color and...
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