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Chapter and Conference Paper
Identifying Relevant Subgraphs in Large Networks
Structural relationships between objects are used to model as graphs in many applications. In this paper, we study the problem of identifying relevant subgraphs in large networks. Relevant subgraphs in large n...
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Chapter and Conference Paper
Variance Based Determination of Three-Way Decisions Using Probabilistic Rough Sets
The probabilistic rough sets is an important generalization of rough sets where a pair of thresholds is used to form new rough regions. The pair of thresholds controls different quality related criteria such a...
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Chapter and Conference Paper
Acquisition and Representation of Knowledge for Academic Field
With the rapid development of Internet, a large number of academic resources are available for researchers. How to organize these resources and represent them well is a big challenge. This paper proposes a nov...
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Chapter and Conference Paper
Ubiquitous Robot: A New Paradigm for Intelligence
This paper presents a systematic review of the recent development in ubiquitous robotics, with a focus on its implication on intelligence. Ubiquitous robot (Ubibot), the third generation robot, is characterize...
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Chapter and Conference Paper
An Improved Recommender Model by Joint Learning of Both Similarity and Latent Feature Space
The matrix factorization recommender system based on manifold regularization, taking into account the similarity of local neighbors and manifold structure, can improve the quality of a recommendation system. ...
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Chapter and Conference Paper
Towards Coordination Game Formulation in Game-Theoretic Rough Sets
Game-theoretic rough set model (GTRS) is a recent advancement in determining three rough set regions by formulating games between multiple measures. GTRS has been focusing on researching competitive games in w...
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Chapter and Conference Paper
Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut
In order to realize accurate personal identification in the ATMS, an efficient iris image segmentation approach based on the fuzzy 4-partition entropy and graph cut is presented which can not only yield noisy ...
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Chapter and Conference Paper
Study on the Detection of Cross-Site Scripting Vulnerabilities Based on Reverse Code Audit
Cross-Site Scripting (XSS) is one of the most popular methods of current network attacks. The attackers mainly put malicious script into a web page through the vulnerabilities of the web application. This pape...
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Chapter and Conference Paper
Combining Convolutional Neural Network and Support Vector Machine for Sentiment Classification
In recent years, the classifiers based on convolutional neural network (CNN) and word embedding achieved good performances in sentiment classification tasks. However, the CNN-based model simply uses a fully co...
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Chapter and Conference Paper
What Is in Front? Multiple-Object Detection and Tracking with Dynamic Occlusion Handling
This paper proposes a multiple-object detection and tracking method that explicitly handles dynamic occlusions. A context-based multiple-cue detector is proposed to detect occluded vehicles (occludees). First,...
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Chapter and Conference Paper
Branching Bisimilarity Checking for PRS
Recent studies reveal that branching bisimilarity is decidable for both nBPP (normed Basic Parallel Processes) and nBPA (normed Basic Process Algebras). These results lead to the question if there are any othe...
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Chapter and Conference Paper
Gaussian Process for Transfer Learning through Minimum Encoding
In real applications, labeled instances are often deficient which makes the classification problem on the target task difficult. To solve this problem, transfer learning techniques are introduced to make use o...
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Chapter and Conference Paper
The Research of Thermal Power Unit Based on Improved Neural Network Generalized Predictive Control
With the development of electric power, Large-scale Generating Unit in heat power plant is a system which is complex,nonlinear and difficulty to establish accurate model, and etc. So it is hard to make system ...
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Chapter and Conference Paper
An Enhanced Multi-Agent System with Evolution Mechanism to Approximate Physarum Transport Networks
The primitive unicellular organism slime mould Physarum Polycephalum has attracted much attention from researchers of both biology and computer science fields. Biological experiments have revealed that its foragi...
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Chapter and Conference Paper
Rough Kernel Clustering Algorithm with Adaptive Parameters
Through analyzing kernel clustering algorithm and rough set theory, a novel clustering algorithm, Rough kernel k-means clustering algorithm with adaptive parameters, is proposed for clustering analysis in this...
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Chapter and Conference Paper
Optimal Path Detection in Wireless Sensor Networks
In this paper we propose a novel approach for optimal path discovery. We consider how to combine the existing optimal path detection tools to achieve better results under the constraint of resource such as ene...
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Chapter and Conference Paper
Learning Colours from Textures by Sparse Manifold Embedding
The capability of inferring colours from the texture (grayscale contents) of an image is useful in many application areas, when the imaging device/environment is limited. Traditional colour assignment involves...
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Chapter and Conference Paper
Decoding Optimization for Chinese-English Machine Translation via a Dependent Syntax Language Model
Decoding is a core process of the statistical machine translation, and determines the final results of it. In this paper, a decoding optimization for Chinese-English SMT with a dependent syntax language model ...
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Chapter and Conference Paper
Synchronization of Symmetry Network
Many real networks have been found to have a rich degree of symmetry, which is a universal structural property of network, yet the synchronization of the symmetry network has not been full studied. Hence, we i...
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Chapter and Conference Paper
Study on Intelligence Detection of Methane Gas Based on NDIR Technology
In this paper, with regards to the disadvantages of traditional gas sensor used in mine, an intelligent infrared detection method for methane gas based on Non-dispersive Infrared technology is presented. Throu...