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Entanglement between Two Uses of a Noisy Multipartite Quantum Channel Enables Perfect Transmission of Classical Information

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Physical Review Letters 2008年第2期101卷 020501-020501页

作者： Runyao Duan Yaoyun Shi State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China Department of Electrical Engineering and Computer Science University of Michigan 2260 Hayward Street Ann Arbor Michigan 48109-2121 USA

Suppose that m senders want to transmit classical information to n receivers with zero probability of error using a noisy multipartite communication channel. The senders are allowed to exchange classical, but not quantum, messages among themselves, and the same holds for the receivers. If the channel is classical, a single use can transmit information if and only if multiple uses can. In sharp contrast, we exhibit, for each m and n with m>1 or n>1, a quantum channel of which a single use is not able to transmit information yet two uses can. This latter property requires and is enabled by quantum entanglement.

关键词： Quantum entanglement

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Sentiment Vector Space Model for Lyric-Based Song Sentiment Classification

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International Journal of Computer Processing of Languages 2008年第4期21卷 309-330页

作者： YUNQING XIA LINLIN WANG KAM-FAI WONG Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China State Key Laboratory of Intelligent Technology and Systems Department of CS&T Tsinghua University Beijing 100084 China Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Shatin Hong Kong

Song sentiment analysis attracts much attention in research areas such as acoustic signal processing (ASP) and natural language processing (NLP). The text-based efforts in the NLP community are found to be interesting. As a popular text-based solution, the lyric-based sentiment classification approach adopts the vector space model (VSM) to represent lyric text and assigns songs sentiment labels such as light-hearted and heavy-hearted . Four problems render the term-based VSM model ineffective. Firstly, many words within song lyrics contribute little to expressing sentiment, but they are equally considered as term features. Secondly, nouns and verbs being used to express sentiment are ambiguously used in natural language text. But the ambiguity is not addressed. Thirdly, negations and modifiers accompanying the sentiment keywords make particular contributions to sentiment expressing, but the contributions are not reflected. Lastly, song lyric is usually very short and data sparseness problem is serious. To address these problems, the sentiment vector space model (s-VSM) is proposed in this paper to represent song lyric document based on sentiment unit. With the s-VSM model, the support vector machines (SVM) classification algorithm is applied to perform song sentiment analysis. Experimental results show that lyric is helpful to song sentiment analysis and the s-VSM model outperforms the VSM model significantly in performing the task of song sentiment analysis.

关键词： Sentiment vector space model Song sentiment analysis Lyric understanding Text classification

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Distributed ship relative positioning algorithm in the MITS

Distributed ship relative positioning algorithm in the MITS

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World Congress on intelligent Control and Automation (WCICA)

作者： Quanbo Ge Fuchun Sun Chenglin Wen State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China College of Automation Hangzhou Dianzi University Hangzhou Zhejiang China

Most of the traditional ship positioning methods only consider how to integrate or fuse the active information from GPS, SINS, TNS, and SMS and so forth. But because of the complexity possessed by the modern marine intelligent transport system (MITS) and the uncertainty of hardware systems, especially the fallibility of GPS, the application abilities of the current ship positioning methods are limited badly and suffer many problems and challenges. Aiming at these, the ship navigation positioning based on relative measurements (SNPRM) algorithm, which uses the other shippsilas information to further update the target shippsilas active integrated navigation positioning estimate (AINPE), has been presented. Accordingly, the accuracy and reliability of the navigation positioning estimate are improved. Unfortunately, it is suboptimal in minimum mean square error (MMSE) and doesnpsilat have feedback function; therefore, both of them lead directly the low accuracy and bad local performance. In order to solve the above problems, a novel distributed SNPRM (DSNPRM) method is proposed in this paper by introducing the optimal distributed fusion and global feedback. The algorithm analysis and simulation both show its validity and superiority compared with the current SNPRM algorithm.

关键词： Marine vehicles Equations Navigation Global positioning system Algorithm design and analysis Position measurement Accuracy

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Optimization and stabilization of networked control systems: An Estimation of Distribution Algorithm approach

Optimization and stabilization of networked control systems:...

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IEEE Conference on Decision and Control

作者： HongBo Li Mo-Yuen Chow ZengQi Sun Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Electrical and Computer Engineering Department North Carolina State University Raleigh NC USA

ISBN: (纸本)9781424431236

This paper addresses the optimization and stabilization problem for networked control systems (NCSs). The memoryless state feedback controller is considered, and the resulting closed-loop NCS is modeled as a discrete-time switch system. By defining a state-dependent Lyapunov function, the stability conditions are derived for NCSs in terms of linear matrix inequalities (LMIs). Based on the obtained stability conditions, the corresponding controller design problem is solved, and estimation of distribution algorithm (EDA) is used to select the optimal state feedback stabilizing gain. It is shown that the proposed method can be easily implemented to various applications, since it is simple and has no assumptions on time delays and packet losses. Simulation results are given to demonstrate the effectiveness of the proposed approach.

关键词： Networked control systems state feedback Switches Stability Lyapunov method Linear matrix inequalities Optimal control Algorithm design and analysis state estimation Electronic design automation and methodology

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Asymptotic Stability of Uncalibrated Eye-in-Hand Visual Servoing: An Affine Invariance Perspective

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IFAC Proceedings Volumes 2008年第2期41卷 2838-2843页

作者： Miao Hao Zengqi Sun Fujii Masakazu State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China Corporate Research and Development IHI Corporation Yokohama 2358501 Japan

In this paper, asymptotic stability of uncalibrated eye-in-hand visual servoing is proved in an affine invariance perspective. After a brief retrospection on the uncalibrated eye-in-hand visual servoing, the affine invariance framework is introduced with discussion in depth. Then the visual servoing algorithm is reconstructed in an affine invariance framework, or more precisely as an affine contravariance algorithm, with its complete asymptotic stability proved, proposed as a convergence theorem. The affine invariance perspective enroots the series algorithm on a more solid and fruitful mathematical background and finally, the paper would discuss several potential research realms of the topic of visual servoing.

关键词： intelligent control Robotics Jacobian matrices Servo systems Affine

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Augmented tree partitioning for interactive image segmentation

Augmented tree partitioning for interactive image segmentati...

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IEEE International Conference on Image Processing

作者： Yangqing Jia Jingdong Wang Changshui Zhang Xian-Sheng Hua State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and TechnologyDepartment of Automation Tsinghua University Beijing China Internet Media Group Microsoft Research Asia Beijing China

In this paper, we propose a new fast semi-supervised image segmentation method based on augmented tree partitioning. Unlike many existing methods that use a graph structure to model the image, we use a tree-based structure called the augmented tree, which is built up by augmenting several abstract label nodes to the minimum spanning tree of the original graph. We then model image segmentation as the partitioning problem on the augmented tree. Dynamic programming is used to efficiently solve the optimization problem. Experimental results show that our method gives competitive segmentation results, and the speed is much faster than graph- based methods.

关键词： Image segmentation Tree graphs Dynamic programming Tree data structures Laboratories Pixel intelligent systems Information science Automation Internet

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Audio tonality mode classification without tonic annotations

Audio tonality mode classification without tonic annotations

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Zhiyao Duan Lie Lu Changshui Zhang State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology (TNList) Department of Automation Tsinghua University Beijing China Sigma Center Microsoft Research Asia Beijing China

Traditional tonality mode (major or minor) classification or audio key finding algorithms often rely on tonic annotations (key names) of the training songs. However, unlike classical music whose keys are usually explicitly labeled in their titles, the keys of numerous popular music are hard to obtain. In contrast, it is much easier to only label the mode for each song. With only modes labeled, traditional approaches to key or mode classification cannot be directly applied, due to the lack of the reference point to transpose and align the chroma features with different keys. In this paper, we present an alignment approach to transpose chroma features within each mode to a reference (but unknown) tonic. Then several methods, including Single Profile Correlation, Multiple Profile Correlation and Support Vector Machine, are exploited to address mode learning and classification. Experimental results show the feasibility of the proposed approach.

关键词： Correlation Music Support vector machine classification Training Support vector machines Hidden Markov models Feature extraction

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Multi-granular representation-the key to machine intelligence

Multi-granular representation-the key to machine intelligenc...

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International Conference on intelligent System and Knowledge Engineering, ISKE

作者： Bo Zhang Ling Zhang Department of Computer Science and Technology Tsinghua National Laboratory for Information Science & Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Institute of Artificial Intelligence Anhui University Hefei Anhui China

One of the basic characteristics in human problem solving is the ability to conceptualize the world at different granularities and translate from one abstraction level to the others easily. But so far computers can only deal with one abstraction level in problem solving generally. It seems important to develop new techniques which will in some way enable the computers to represent the world at different granularities. So the multi-granular representation is the key to machine intelligence. In the talk, we first introduce the quotient space based problem solving theory. In the theory, a problem is represented by a triplet (X,F,T), where X - the universe with the finest grain-size, F -the attribute of X, and T- the structure of X. When we view the same problem at a coarser grain size, we have a coarse-grained universe denoted by [X]. Then we have a new representation ([X],[F],[T]) of the problem. The coarse universe [X] is defined by an equivalence relation R on X. Then, representation ([X],[F],[T]) is called a quotient space of(X,F,T), where [X] -the quotient set of X, [F] -the quotient attribute of F, and [T] -the quotient structure of T. Obviously, the set of representations of a problem at different granularities composes a complete semi-order lattice. That is, in the theory the concept, quotient space, in algebra is used as a mathematical model to represent the relationship between representations with different grain-sizes. Multi-granular representation methodology can be used both in problem solving and machine learning. In multi-granular problem solving, a problem is solved from the coarse grain-size to the fine one hierarchically. The aim of hierarchical problem solving is intended to reduce the computational complexity. Multi-granular machine learning is intended to learn the knowledge from representations with different grain-size, i.e., the so-called multi-information fusion. Generally speaking, the fine representation has more details but less robustness.

关键词： Machine intelligence Problem-solving Machine learning Robustness Humans Grain size Lattices Algebra Mathematical model Computational complexity

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Adaptive particle filter with body part segmentation for full body tracking

Adaptive particle filter with body part segmentation for ful...

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International Conference on Automatic Face and Gesture Recognition

作者： Junxia Gu Xiaoqing Ding Shengjin Wang Youshou Wu Department of Electronic Engineering Tsinghua University Beijing China State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing 100084 China

This paper presents a novel approach for marker-less 3D full body pose tracking using adaptive particle filter. Firstly, the search space decomposition strategy and body part segmentation method are used to reduce the calculation complexity due to the large degrees of freedom. Then an adaptive particle filter is adopted to track each body part. This new technique is a significant improvement over the standard particle filter with the advantage of adaptive particle number for each body part. Experimental results on tracking several challenging action sequences have shown that the proposed 3D full body tracker is able to effectively handle rapid no-linear movements, large changes of viewpoint, and different actors. The average errors of joint position are from 0.56 to 1.13 voxel in these action sequences.

关键词： Particle filters Particle tracking Space technology Joints Humans Image reconstruction Laboratories Biological system modeling intelligent systems Information science

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Arbitrary warped document image restoration based on segmentation and Thin-Plate Splines

Arbitrary warped document image restoration based on segment...

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International Conference on Pattern Recognition

作者： Yu Zhang Changsong Liu Xiaoqing Ding Yanming Zou Department of Electronic Engineering State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China System Research Center Nokia Research Center Beijing China

ISBN: (纸本)9781424421749

Warping is a common appearance in camera captured document images. It is the primary factor that makes such kind of document images hard to be recognized. Therefore it is necessary to restore warped document image before recognition. In this paper, a novel restore method is presented. The method takes a rough line segmentation and character segmentation firstly in order to estimate the warping direction. Then several pairs of key points mapping between the original image and the restored image are determined and thin-plate splines (TPS), which is an interpolation algorithm, is introduced to restore the image. Such process can effectively describe the warping direction of the document and successfully restore the image. Some experimental results show the effect of the image restoration and compare the recognition rate before and after the restoration based on a same OCR application.

关键词： Image restoration Image segmentation Image recognition Optical character recognition software Laboratories intelligent systems Smart cameras Interpolation Shape Lighting

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