53 Result(s)
within
YuJie Zhang
Computer Science
-
Chapter and Conference Paper
An Efficient Algorithm for Japanese Sentence Compaction Based on Phrase Importance and Inter-Phrase Dependency
This paper describes an efficient algorithm for Japanese sentence compaction. First, a measure of grammatical goodness of phrase sequences is defined on the basis of a Japanese dependency grammar. Also a measu...
-
Chapter and Conference Paper
Acquiring Translational Equivalence from a Japanese-Chinese Parallel Corpus
This paper presents our work on acquiring translational equivalence from a Japanese-Chinese parallel corpus. We follow and extend existing word alignment techniques, including statistical model and heuristic m...
-
Chapter and Conference Paper
Chinese Chunking with Tri-training Learning
This paper presents a practical tri-training method for Chinese chunking using a small amount of labeled training data and a much larger pool of unlabeled data. We propose a novel selection method for tri-trai...
-
Article
Application research on the chaos synchronization self-maintenance characteristic to secret communication
Chua’s circuit, which is improved to integrate conveniently, is presented. A drive-response chaotic synchronization system is constructed, which possesses a certain stability, resisting-disturbance, and so on....
-
Chapter and Conference Paper
A Parallel Algorithm for Finding Related Pages in the Web by Using Segmented Link Structures
In this paper, a simple but powerful algorithm: block co-citation algorithm is proposed to automatically find related pages for a given web page, by using HTML segmentation technologies and parallel hyperlink ...
-
Chapter and Conference Paper
Sparse Source Separation with Unknown Source Number
Sparse Blind Source Separation (BSS) problems have recently received some attention. And some of them have been proposed for the unknown number of sources. However, they only consider the overdetermined case (...
-
Chapter and Conference Paper
The Design of Supermarket Electronic Shop** Guide System Based on ZigBee Communication
Based on the ZigBee networking technology and protocol analysis, The paper designs a ZigBee Network Model with the features of communication and location which mainly rests on CC2431 ZigBee network location pr...
-
Chapter and Conference Paper
The Research of Flame Combustion Diagnosis System Based on Digital Image Processing
According to the characteristics of boiler combustion process, we use image processing technique to extract features that characterize the features of flame. On requirements of good real-time performance boile...
-
Chapter and Conference Paper
Video Vehicle Detection and Tracking System
Non-intrusive video vehicle detection and tracking for traffic flow surveillance and statistics is the primary alternative to conventional inductive loop detectors. Vision-based systems for traffic have an imp...
-
Chapter and Conference Paper
Exploration of N-gram Features for the Domain Adaptation of Chinese Word Segmentation
A key problem in Chinese Word Segmentation is that the performance of a system will decrease when applied to a different domain. We propose an approach in which n-gram features from large raw corpus are explor...
-
Chapter and Conference Paper
Exploring Multiple Chinese Word Segmentation Results Based on Linear Model
In the process of develo** a domain-specific Chinese-English machine translation system, the accuracy of Chinese word segmentation on large amounts of training text often decreases because of unknown words. ...
-
Chapter and Conference Paper
A Method to Construct Chinese-Japanese Named Entity Translation Equivalents Using Monolingual Corpora
The traditional method of Named Entity Translation Equivalents extraction is often based on large-scale parallel or comparable corpora. But the practicability of the research results is constrained by the rela...
-
Chapter and Conference Paper
Design of Face Detection System Based on FPGA
To solve the real-time problem of face detection, considering the realization bottleneck of AdaBoost pure software algorithm, FPGA-based hardware acceleration platform strategy is proposed. The paper analyzes ...
-
Chapter and Conference Paper
Chunk-Based Dependency-to-String Model with Japanese Case Frame
This paper proposes an idea to integrate Japanese case frame into chunk-based dependency-to-string model. At first, case frames are acquired from Japanese chunk-based dependency analysis results. Then case fra...
-
Chapter and Conference Paper
Case Frame Constraints for Hierarchical Phrase-Based Translation: Japanese-Chinese as an Example
Hierarchical phrase-based model has two main problems. Firstly, without any semantic guidance, large numbers of redundant rules are extracted. Secondly, it cannot efficiently capture long reordering. This pape...
-
Article
Video color conceptualization using optimization
Color conceptualization aims to propagate “color concepts” from a library of natural color images to the input image by changing the main color. However, the existing method may lead to spatial discontinuities...
-
Chapter and Conference Paper
Multitask Oriented GPU Resource Sharing and Virtualization in Cloud Environment
With the enrichment of hardware features and software development environment gradually maturing, GPU is widely applied in the field of general-purpose computing. As a high performance computing resource, GPU ...
-
Chapter and Conference Paper
Iterative Integration of Unsupervised Features for Chinese Dependency Parsing
Since Chinese dependency parsing is lack of a large amount of manually annotated dependency treebank. Some unsupervised methods of using large-scale unannotated data are proposed and inevitably introduce too m...
-
Chapter and Conference Paper
Chinese Paraphrases Acquisition Based on Random Walk N Step
Conventional “pivot-based” approach of acquiring paraphrasing from bilingual corpus has limitations, where only paraphrases within two steps were considered. We propose a graph based model of acquiring paraphr...
-
Article
Blind image separation based on reorganization of block DCT
Blind image separation consists in processing a set of observed mixed images to separate them into a set of original components. Most of the current blind separation methods assume that the sources are as stat...
