134 Result(s)
within
Artificial Intelligence
Computer Graphics
Image Processing and Computer Vision
Multimedia Information Systems
**hu Li
Computer Science
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Chapter and Conference Paper
Extremely Randomized Forest with Hierarchy of Multi-label Classifiers
Hierarchy Of multi-label classifiERs (HOMER) is one of the most popular multi-label classification approaches. However, it is limited in its applicability to large-scale problems due to the high computational ...
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Chapter and Conference Paper
Similarity Degree for Multi-Attribute Decision Making with Incomplete Dual Hesitant Fuzzy Sets
Due to the uncertainty and fuzziness of the real world, the dual hesitant fuzzy set (DHFS) has been proposed to express uncertain information during the process of multi-attribute decision making (MADM). In or...
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Chapter and Conference Paper
Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood
Event-based social networks (EBSNs) recently emerge as a new type of social network and have been growing rapidly. Because of the very large volume of various events, the demand of event recommendation becomes...
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Chapter and Conference Paper
Research on Multiple Files Input Programming Method Based on MapReduce
Hadoop is a software framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Hadoop is widely used due to its scalability, high rel...
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Chapter and Conference Paper
Coherence Enhancing Diffusion for Discontinuous Fringe Patterns with Oriented Boundary Padding
Optical interferometric techniques are very attractive in various research and application fields for the non-contact, high accuracy and full filed measurements they offer. Fringe patterns, as the recorded res...
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Chapter and Conference Paper
Exemplar-Based Image Inpainting Using Structure Consistent Patch Matching
Image inpainting reconstructs lost or deteriorated parts of images according to the information of surrounding regions. Criminisi has proposed an effective exemplar-based inpainting algorithm, which has the ad...
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Chapter and Conference Paper
Multispectral Image Fusion Based on Laplacian Pyramid Decomposition with Immune Co-evolutionary Optimization
In this paper, a new multispectral image fusion algorithm is proposed by considering the abundant directional information and complex high frequency of source images. In this algorithm, Laplacian pyramid (LP) ...
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Chapter and Conference Paper
Fast Film Genres Classification Combining Poster and Synopsis
In this paper, we present an efficient approach to fast classify film genre by making use of film posters and synopsis simultaneously. Compared with traditional video content-based classification methods, the ...
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Chapter and Conference Paper
Semisupervised Classification of SAR Images by Maximum Margin Neural Networks Method
The proposed method is based on neural networks by modeling the data marginal distribution with the graph Laplacian built with both labeled and unlabeled samples, at the same time, optimizing neural networks l...
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Chapter and Conference Paper
Ranking Web Page with Path Trust Knowledge Graph
How to find and discover useful information from Internet is a real challenge in information retrieval (IR) and search engines (SE). In this paper, we propose and construct Path Trust Knowledge Graph PTKG model f...
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Chapter and Conference Paper
A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging
Face sketch aging (FSA) simulation is a challenging task with many real applications. Although researches on face aging have achieved great progress, most of researchers focus on face photos. The main reason i...
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Chapter and Conference Paper
Multi-attribute Decision Making Under Risk Based on Third-Generation Prospect Theory
A method of multi-attribute decision making under risk (MADMUR) based on third-generation prospect theory (PT3) is presented to solve the decision making problems by allowing reference points of each attribute...
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Chapter and Conference Paper
DT-CWT-Based Improved BAQ for Anti-Saturation SAR Raw Data Compression
In this paper, an anti-saturation raw data compressing algorithm for Synthetic Aperture Radar (SAR) based on Dual-Tree Complex Wavelet Transform (DT-CWT) and improved Block Adaptive quantization (BAQ) is propo...
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Chapter and Conference Paper
Predicting Drug-Target Interactions Between New Drugs and New Targets via Pairwise K-nearest Neighbor and Automatic Similarity Selection
Predicting drug-target interaction (DTI) by computational methods has gained more and more concerns in both drug discovery and repositioning. However, several inherent difficulties in DTI data have not yet bee...
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Chapter and Conference Paper
Second Order Variational Model for Image Decomposition Using Split Bregman Algorithm
The classical first order Vese-Osher model is capable of decomposing an image into its structure and texture components. However, an undesirable feature of this model for the task is the ‘staircase’ side effec...
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Chapter and Conference Paper
The Data Quality Evaluation that Under the Background of Wisdom City
Current sensor-based monitoring systems use multiple sensors in order to identify high-level information based on the events that take place in the monitored environment. This information is obtained through l...
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Chapter and Conference Paper
Temporal Association Rule Mining
A modified framework, that applies temporal association rule mining to financial time series, is proposed in this paper. The top four components stocks of Dow Jones Industrial Average (DJIA) in terms of highes...
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Chapter and Conference Paper
Understanding Air Quality Challenges Through Simulation and Big Data Science for Low-Load Homes
The goal of this research is to determine the prominent problems and challenges of the low-load homes in the aspects of high performance ventilation systems and indoor air quality strategies. The authors will ...
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Chapter and Conference Paper
Application of TOPO to the Multistage Batch Process Optimization of Gardenia Extracts
In this paper, the target-oriented overall process optimization (TOPO) strategy is for the first time applied to a six-unit production process of gardenia extract, in order to improve the product quality durin...
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Chapter and Conference Paper
Learning Sparse Features in Convolutional Neural Networks for Image Classification
The Neural Network (NN) with Rectified Linear Units (ReLU), has achieved a big success for image classification with large number of labelled training samples. The performance however is unclear when the numbe...
