46 Result(s)
within
English
Artificial Intelligence
Information Storage and Retrieval
Dong-**ng Wang
Conference Paper
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Chapter and Conference Paper
Study on the Method of Precise Entity Search Based on Baidu’s Query
For a given query, searching for entities that conform to the description facts in the given set, in view of this goal, this paper proposes a matching method based on classification and semantic extension. The...
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Chapter and Conference Paper
Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test
Recent progress in neural learning demonstrated that machines can do well in regularized tasks, e.g., the game of Go. However, artistic activities such as poem generation are still widely regarded as human’s s...
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Chapter and Conference Paper
Evaluating and Comparing Web-Scale Extracted Knowledge Bases in Chinese and English
DBpedia and YAGO are the two main data sources serving as the hub of Linking Open Data (LOD), and they both contain Chinese data. Zhishi.me and SSCO extract Chinese knowledge from Wikipedia and other Chinese E...
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Chapter and Conference Paper
SmartSwim: An Infrastructure-Free Swimmer Localization System Based on Smartphone Sensors
Many works have focused their attention on the sports activity monitoring and recognition using inherit sensors on the smartphone. However, distinct from many on-the-ground activities, swimming is not only har...
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Chapter and Conference Paper
Semi-supervised Feature Extraction for RNA-Seq Data Analysis
It is of urgency to effectively identify differentially expressed genes from RNA-Seq data. In this paper, we propose a novel method, semi-supervised feature extraction, to analyze RNA-Seq data. Our scheme is s...
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Chapter and Conference Paper
Optimized Uyghur Segmentation for Statistical Machine Translation
In this paper, we propose an optimized method to segment the Uyghur word. We consider the optimization as a classification problem; the features are extracted from Uyghur-Chinese bilingual corpus. Experimental...
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Chapter and Conference Paper
Fast Multiway Maximum Margin Clustering Based on Genetic Algorithm via the NystrÖm Method
Motivated by theories of support vector machine, the concept of maximum margin has been extended to the applications in the unsupervised scenario, develo** a novel clustering method─maximum margin clustering (M...
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Chapter and Conference Paper
Robust Visual Tracking with Dual Group Structure
The “sparse representation”-based tracking framework generally considers the testing candidates and dictionary atoms individually, thus failing to model the structured information within data. In this paper, w...
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Chapter and Conference Paper
Holistic Subgraph Search over Large Graphs
Due to its wide applications, subgraph matching problem has been studied extensively in the past decade. In this paper, we consider the subgraph match query in a more general scenario. We build a structural in...
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Chapter and Conference Paper
Design of Insulator Resistance Tester for Multi-Core Cables
By the long-time of the insulator resistance testing of multi-core cables, a new insulator resistance tester based on an intelligent test system consisting of an embedded controller, two relay matrixes, and so...
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Chapter and Conference Paper
Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism
In this big data era, the capability of mining and analyzing large scale datasets is imperative. As data are becoming more abundant than ever before, data driven methods are playing a critical role in areas su...
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Chapter and Conference Paper
Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism
CUDA is an advanced massively parallel computing platform that can provide high performance computing power at much more affordable cost. In this paper, we present a parallel graph-based substructure pattern m...
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Chapter and Conference Paper
Clustering-Based k-Anonymity
Privacy is one of major concerns when data containing sensitive information needs to be released for ad hoc analysis, which has attracted wide research interest on privacy-preserving data publishing in the pas...
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Chapter and Conference Paper
Selecting an Appropriate Interestingness Measure to Evaluate the Correlation between Syndrome Elements and Symptoms
In order to select the best interestingness measure appropriate for evaluating the correlation between syndrome elements and symptoms, 60 objective interestingness measures were selected from different subject...
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Chapter and Conference Paper
Reasoning about Semantic Web Services with an Approach Based on Temporal Description Logic
Temporal description logic ALC-LTL not only has considerable expressive power, but also extends the description capability of description logic from the static domain to the dynamic domain. In this paper, ALC-LTL...
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Chapter and Conference Paper
Enhancing Utility and Privacy-Safety via Semi-homogenous Generalization
The existing solutions to privacy preserving publication can be classified into the homogenous and non-homogenous generalization. The generalization of data increases the uncertainty of attribute values, and l...
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Chapter and Conference Paper
Optimization of Oil Field Injection Pipe Network Model Based on Electromagnetism-Like Mechanism Algorithm
The accuracy of water injection pipe network hydraulic model is directly related to the fitting degree of water injection pipe network actual running state. In order to improve the accuracy, using optimization...
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Chapter and Conference Paper
Atavistic Strategy for Genetic Algorithm
Atavistic evolutionary strategy for genetic algorithm is put forward according to the atavistic phenomena existing in the process of biological evolution, and the framework of the new strategy is given also. T...
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Chapter and Conference Paper
Study on Engineering Consciousness and Ability Fostering of Applied Talents in Engineering Education
Fostering problem of innovative applied talent in engineering education is important problem of modern industry development and innovative national construction. The paper analyze detailedly Engineering abilit...
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Chapter and Conference Paper
A Generation Method for Requirement of Domain Ontology Evolution Based on Machine Learning in P2P Network
With some critical defects existing in the generation of requirement such as the method to extract concept, property and their relationship from external knowledge sources issues, we propose a novel approach t...
