Sponsored by the Major Program of National Natural Science Foundation of China(Grant No.13&ZD162);the Applied Basic Research Programs of China National Textile and Apparel Council(Grant No.J201509)
Unsupervised feature selection has become an important and challenging problem faced with vast amounts of unlabeled and high-dimension data in machine learning. We propose a novel unsupervised feature selection method...
Sponsored by the National Natural Science Foundation of China(Grant No.61402131);the China Postdoctoral Science Foundation(Grant No.2014M551245,2016T90293);the Heilongjiang Postdoctoral Science Foundation(Grant No.LBH-Z13105);the Fundamental Research Funds for the Central Universities(Grant No.HIT.NSRIF.201651)
Structured flowchart( SFC) and Automatic code generation based on SFC( CG-SFC) have been widely used in software requirements,design and testing phases. Some CG-SFC tools such as Rhapsody have the ability to build flo...
This paper presents SFES: a scalable, fault-tolerant, efficient search scheme in a peer-to-peer network. The idea is based on the fact that data distribution in an information society has structured features. We desig...
This paper presents a method for structured scene modeling using micro stereo vision system with large field of view. The proposed algorithm includes edge detection with Canny detector, line fitting with principle axi...
This paper presents DVA(decision variable analysis) a new modeling method for solution of complex linear programming modeling problems. The method classifies the decision variabes in different level by different index...
This paper theoretically analyzes and researches the coordinate frames of a 3D vision scanning system, establishes the mathematic model of a system scanning process, derives the relationship between the general non-or...
This paper presents the principle and mathematic model for the 3D depth map method based on space encoding images performed by modulating scanning structuredlight according to time sequences,and the synchro control ...