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The Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies

作者： JIANG Chunhong SU Guangda LIU Xiaodong The State Key Laboratory of Intelligent Technology and System Electronic Engineering DepartmentTsinghua University

This paper presents a distributed parallel system for face *** face database in mis system is so huge(more man 1,000 thousand faces) that matching and recognition processes can not be carried out on only one *** cluster system must be used to improve the matching *** many current clusters existing have some problems and can not fit our system.A special distributed parallel system was developed to complete face query and *** concept of parallel virtual machine and a kind of linked table structure adopted in this system not only decreased lots of moving overhead of adding or deleting nodes in the array structure but also truly realized the infinite ***,key techniques such as distributed database,buffer and synchronization techniques in communication and multithreading in control flow were adopted to guarantee the normal *** results proved mat this parallel system can improve the matching speed for more than 4 ***,the greatest advantage of this system is not only increasing matching speed but breaking the upper limit of face data ***,the face data capability of this system can be extended to arbitrary figure as bigger as possible.

关键词： distributed parallel system distributed database face recognition parallel virtual machine

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A new algorithm for character segmentation of license plate

A new algorithm for character segmentation of license plate

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IEEE Symposium on intelligent Vehicle

作者： Yungang Zhang Changshui Zhang State Key Laboratory of Intelligent Technology and System Department of Automation Tsinghua University Beijing China

ISBN: (纸本)0780378482

Character segmentation is an important step in License Plate Recognition (LPR) system. There are many difficulties in this step, such as the influence of image noise, plate frame, rivet, space mark, and so on. This paper presents a new algorithm for character segmentation, using Hough transformation and the prior knowledge in horizontal and vertical segmentation respectively. Furthermore, a new object enhancement technique is used for image preprocessing. The experiment results show a good performance of this new segmentation algorithm.

关键词： Licenses Image segmentation Pixel Laboratories intelligent systems Space technology Automation Character recognition Histograms Image analysis

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Parameter optimization for information retrieval with genetic algorithm

Parameter optimization for information retrieval with geneti...

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IEEE International Conference on systems, Man and Cybernetics

作者： Chuan Lin Shao-ping Ma Min Zhang State Key laboratory of Intelligent Technology and System Department of Computer TechnologyScience and Tsinghua University China

ISBN: (纸本)0780379527

In most of the modern information retrieval (IR) systems, such as Okapi system, there are a variety of parameters to be turned which are data-dependent and sensitive. Manual parameter setting with fixed experimental values is not always feasible and reliable in practical cases. Furthermore, the supervised learning approaches are not applicable for lacking of relevant information while retrieving. Therefore, an automatic unsupervised parameter learning mechanism is necessary and important. In this paper, a genetic algorithm (GA) based parameter optimization approach is proposed and experimented on Okapi system using large scale data sets of TREC11, TREC10 and TREC9 web track collections. It indicates that our algorithm is effective to adjust system parameters and improve the retrieval performance significantly.

关键词： Information retrieval Genetic algorithms Computer science Laboratories Training data intelligent systems Modems Large-scale systems Computer hacking Optical computing

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Face recognition using a modified line segment hausdorff distance

Face recognition using a modified line segment hausdorff dis...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Cheng Du Guangda Su Xinggang Lin Electronic Engineering Department The State Key Laboratory of Intelligent Technology and System Tsinghua University Beijing China

ISBN: (纸本)0780378652

The automatic recognition of human faces presents a significant challenge to the pattern recognition research community. Typically, human faces are very similar in structure with minor differences from person to person. Furthermore, lighting condition changes, facial expressions, and pose variations further complicate the face recognition task as one of the difficult problems in pattern analysis. In this paper, we proposed a modified line segment hausdorff distance measure for face recognition. The distance measure is weighted according to a weight function derived from the spatial information of the human face. This distance measure, namely Spatially Weighted Line Hausdorff Distance (SWLHD), is further improved by limit the line pairs in a given neighborhood. Experiment showed encouraging result and the results also implicate that line segments could provide sufficient information for face recognition.

关键词： Face recognition Humans Pattern recognition Weight measurement Biometrics Biomedical monitoring Laboratories intelligent systems Libraries Access control

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Face recognition across different poses using a single 2D model view

Face recognition across different poses using a single 2D mo...

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IEEE International Conference on robotics, intelligent systems and Signal Processing

作者： Cheng Du Guangda Su Xinggang Lin Electronic Engineering Department The State Key Laboratory of Intelligent Technology and System Tsinghua University Beijing China

ISBN: (纸本)078037925X

The pose problem is a difficult area of face recognition. Until now, we haven't had a good method to tackle the problem. In this paper, a simple fronto-parallel face recovery method is presented, the method is simple and effective, it addresses the computationally expensive problem of current 3-D model pose recovery methods, experiments showed that the method can greatly enhance the recognition rate.

关键词： Face recognition Face detection Humans Information security Automatic control Image recognition Computer graphics Head Image databases Laboratories

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Robust real-time face detection based on cost-sensitive AdaBoost method

Robust real-time face detection based on cost-sensitive AdaB...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Yong Ma Xiaoqing Ding State Key Laboratory of Intelligent Technology and System Department of Electronic Engineering Tsinghua University Beijing China

ISBN: (纸本)0780379659

This paper presents a method of detecting faces based on cost-sensitive AdaBoost (CS-AdaBoost) algorithm. The two main differences between CS-AdaBoost algorithm and the naive AdaBoost are that (1) unequal initial weights are given to each training sample according to its misclassification cost, and (2) the weights are updated separately for positives and negatives at each boosting step. Due to these two variations, every stage of the face detector trained by CS-AdaBoost algorithm can more effectively focus on face samples than by the naive AdaBoost to achieve robust and high detection rate with modest false alarm rate, so that the final face detector can yield high detection rates, very low false positive rates, and robust performance. Experiments also demonstrate the effectiveness of our method.

关键词： Robustness Face detection Detectors Costs Face recognition Laboratories intelligent systems Boosting Machine learning Neural networks

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Real-time rotation invariant face detection based on cost-sensitive AdaBoost

Real-time rotation invariant face detection based on cost-se...

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IEEE International Conference on Image Processing

作者： Yong Ma Xiaoqing Ding State Key Laboratory of Intelligent Technology and System Department of Electronic Engineering Tsinghua University Beijing China

ISBN: (纸本)0780377508

This paper presents a novel method of detecting faces at any degree of rotation in the image plane based on cost-sensitive AdaBoost (CS-AdaBoost) algorithm. The method first employs a cascade of very simple classifiers trained by CS-AdaBoost to determine the possible orientation of each input window and then uses an upright face detector also trained by CS-AdaBoost to verify the derotated face candidate. The training procedures for both classifiers are also given in the paper. Experimental results show that the proposed method gives higher detection ratio and real-time detection speed compared to the conventional ones.

关键词： Face detection Detectors Neural networks Laboratories intelligent systems Face recognition Histograms Statistical learning Costs Flowcharts

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Research of Extracting Data from HTML Web Pages Automatically

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Journal of Beijing Institute of Technology 2003年第S1期12卷 104-108页

作者：王茹宋瀚涛陆玉昌 Department of Computer Science and Engineering School of Information Science and TechnologyBeijing Institute of TechnologyBeijing 100081China State Key Laboratory of Intelligent Technology and System Tsinghua UniversityBeijing 100084China

In order to use data information in the Internet, it is necessary to extract data from web pages. An HTT tree model representing HTML pages is presented. Based on the HTT model, a wrapper generation algorithm AGW is proposed. The AGW algorithm utilizes comparing and correcting technique to generate the wrapper with the native characteristic of the HTT tree structure. The AGW algorithm can not only generate the wrapper automatically, but also rebuild the data schema easily and reduce the complexity of the computing.

关键词： information extraction data transformation wrapper HTML page

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A new and efficient audio compression based on EBCOT and RVLC1 6

A new and efficient audio compression based on EBCOT and RVL...

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6th International Conference on Signal Processing, ICSP 2002

作者： Wang, Zhanguo Lin, Fuzong State Key Laboratory of Intelligent Technology and System Tsinghua University Beijing100084 China

ISBN: (纸本)0780374886

The RVLC which is EBCOT-based coding method has been utilized successfully recently in image compression as in JPEG 2000. In this paper we propose a new and efficient audio compression based on EBCOT and RVLC. Firstly the original audio signal is decomposed with a lifting wavelet packet transform, then RVLC and Huffman methods are used to process the coefficients *** and high sub bands respectively. The psychoacoustic model and probability model are also taken into account to achieve high quality of reconstructed audio signal. The results of our experimentation show that the method is efficient. © 2002 IEEE.

关键词： Image compression

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Distribution discovery: Local analysis of temporal rules 6th

Distribution discovery: Local analysis of temporal rules

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6th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002

作者： Jin, Xiaoming Lu, Yuchang Shi, Chunyi The State Key Laboratory of Intelligent Technology and System Computer Science and Technology Dept Tsinghua University Beijing China

ISBN: (纸本)9783540437048

In recent years, there has been increased interest in using data mining techniques to extract temporal rules from temporal sequences. Local temporal rules, which only a subsequence exhibits, are actually very common in practice. Efficient discovery of the time duration in which temporal rules are valid could benefit KDD of many real applications. In this paper, we present a novel problem class that is the discovery of the distribution of temporal rules. We simplify the mining problem and depict a model that could represent this knowledge clearly, uniquely and efficiently. Our methods include four online dividing strategies for different mining interest, an incremental algorithm for measuring rule-sets, and an algorithm for mining this knowledge. We have analyzed the behavior of the problem and our algorithms with both synthetic data and real data. The results correspond with the definition of our problem and reveal a kind of novel knowledge. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Data mining

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