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Proceedings of the 21st International Conference on neural Information Processing Systems

作者： Ohad Shamir Naftali Tishby School of Computer Science and Engineering The Hebrew University Jerusalem Israel School of Computer Science and Engineering The Hebrew University Jerusalem Israel and Interdisciplinary Center for Neural Computation The Hebrew University Jerusalem Israel

ISBN: (纸本)9781605603520

Over the past few years, the notion of stability in data clustering has received growing attention as a cluster validation criterion in a sample-based framework. However, recent work has shown that as the sample size increases, any clustering model will usually become asymptotically stable. This led to the conclusion that stability is lacking as a theoretical and practical tool. The discrepancy between this conclusion and the success of stability in practice has remained an open question, which we attempt to address. Our theoretical approach is that stability, as used by cluster validation algorithms, is similar in certain respects to measures of generalization in a model-selection framework. In such cases, the model chosen governs the convergence rate of generalization bounds. By arguing that these rates are more important than the sample size, we are led to the prediction that stability-based cluster validation algorithms should not degrade with increasing sample size, despite the asymptotic universal stability. This prediction is substantiated by a theoretical analysis as well as some empirical results. We conclude that stability remains a meaningful cluster validation criterion over finite samples.

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Predicting secret keys via branch prediction

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Cryptographers Track at the RSA Conference, CT-RSA 2007

作者： Acıiçmez, Onur Koç, Çetin Kaya Seifert, Jean-Pierre School of Electrical Engineering and Computer Science Oregon State University CorvallisOR97331 United States Information Security Research Center Istanbul Commerce University Eminönü Istanbul34112 Turkey Applied Security Research Group The Center for Computational Mathematics and Scientific Computation Faculty of Science and Science Education University of Haifa Haifa31905 Israel Institute for Computer Science University of Innsbruck Innsbruck6020 Austria

ISBN: (纸本)9783540693277

This paper announces a new software side-channel attack — enabled by the branch prediction capability common to all modern high-performance CPUs. The penalty paid (extra clock cycles) for a mispredicted branch can be used for cryptanalysis of cryptographic primitives that employ a data-dependent program flow. Analogous to the recently described cache-based side-channel attacks our attacks also allow an unprivileged process to attack other processes running in parallel on the same processor, despite sophisticated partitioning methods such as memory protection, sandboxing or even virtualization. In this paper, we will discuss several such attacks for the example of RSA, and experimentally show their applicability to real systems, such as OpenSSL and Linux. Moreover, we will also demonstrate the strength of the branch prediction side-channel attack by rendering the obvious countermeasure in this context (Montgomery Multiplication with dummy-reduction) as useless. Although the deeper consequences of the latter result make the task of writing an efficient and secure modular exponentiation (or scalar multiplication on an elliptic curve) a challenging task, we will eventually suggest some countermeasures to mitigate branch prediction side-channel attacks. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Side channel attack

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EEG Effects of Motion Sickness Induced in a Dynamic Virtual Reality Environment

EEG Effects of Motion Sickness Induced in a Dynamic Virtual ...

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29th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBS 2007), vol.10

作者： Chin-Teng Lin Shang-Wen Chuang Yu-Chieh Chen Li-Wei Ko Sheng-Fu Liang Tzyy-Ping Jung Department of Electrical and Control Engineering the Department of Computer Science Brain Research Center Hsinchu Taiwan The Department of Computer Science Brain Research Center Hsinchu Taiwan Department of Electrical and Control Engineering Brain Research Center Hsinchu Taiwan Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Institute for Neural Computation University of California San Diego CA USA

The Electroencephalogram (EEG) dynamics which relate to motion sickness are studied in this paper. Instead of providing visual or motion stimuli to the subjects to induce motion sickness, we employed a dynamic virtual-reality (VR) environment in our research. The environment consisted of a 3D surrounding VR scene and a motion platform providing a realistic situation. This environment provided the advantages of safety, low cost, and the realistic stimuli to induce motion sickness. The Motion Sickness Questionnaire (MSQ) was used to assess the sickness level, and the EEG effects on the subjects with high sickness levels were investigated using the independent component analysis (ICA). The fake-epoch extraction was then applied to the nausea-related independent components. Finally we employed the Event-Related Spectral Perturbation (ERSP) technology on the fake-epochs in order to determine the EEG dynamics during motion sickness. The experimental results show that most subjects experienced an 8-10Hz power increase to their motion sickness-related phenomena in the parietal and motor areas. Moreover, some subjects experienced an EEG power increase of 18-20Hz in their synchronized responses recorded in the same areas. The motion sickness-related effects and regions can be successfully obtained from our experimental results.

关键词： Electroencephalography Virtual reality Layout Vehicle dynamics computer science Safety Motion analysis Independent component analysis Control engineering Costs

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Control of discrete linear repetitive processes with ℋ ∞ and 2 - ∞ performance

Control of discrete linear repetitive processes with ℋ ∞ a...

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2007 American Control Conference, ACC

作者： Wu, Ligang Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

ISBN: (纸本)1424409888

This paper considers the control of discrete linear repetitive processes, which are a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, which are of both system-theoretic and applications interest. In this paper we report new results on the design of control laws with guaranteed levels of performance. In particular, develop algorithms for the design of an ℋ∞ and 2-∞ dynamic output feedback controller which guarantees that the resulting controlled process is stable and has prescribed disturbance attenuation performance as measured by ℋ∞ and 2-∞ norms. © 2007 IEEE.

关键词： Linear systems

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Filtering of discrete linear repetitive processes with ∞ and 2-∞ performance

Filtering of discrete linear repetitive processes with ∞ an...

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2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007

作者： Ligang, Wu Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Kummert, Anton Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra 65-246 Zielona Góra Poland School of Electronics and Computer Science University of Southampton Southampton SO17 IBJ United Kingdom University of Wuppertal Faculty of Electrical Information and Media Engineering Communication Theory

This paper considers the general filtering problem for a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, known as discrete linear repetitive processes which are of both system-theoretic and applications interest. In particular, new results on the design of filters with guaranteed levels of performance are developed. These take the form of algorithms for the design of an ∞ and 2-∞ dynamic output feedback filter which guarantees that the resulting filtering error process is stable and has prescribed disturbance attenuation performance as measured by ∞ and 2- ∞ norms. © 2007 IEEE.

关键词： Signal filtering and prediction

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Control of Discrete Linear Repetitive Processes with H and l2 - l Performance

Control of Discrete Linear Repetitive Processes with H and l...

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American Control Conference (ACC)

作者： Ligang Wu James Lam Wojciech Paszke Krzysztof Galkowski Eric Rogers Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Mechanical Engineering University of Hong Kong Hong Kong China Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK

This paper considers the control of discrete linear repetitive processes, which are a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, which are of both system-theoretic and applications interest. In this paper we report new results on the design of control laws with guaranteed levels of performance. In particular, develop algorithms for the design of an H infin and lscr 2 - lscr infin dynamic output feedback controller which guarantees that the resulting controlled process is stable and has prescribed disturbance attenuation performance as measured by H infin and lscr 2 - lscr infin norms.

关键词： Control systems Linear systems Algorithm design and analysis Space technology Iterative algorithms Process control Optimal control Stability analysis Convergence Cities and towns

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Redesign of a conformal boundary recovery algorithm for 3D Delaunay triangulation

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Journal of Zhejiang University-science A(Applied Physics & engineering) 2006年第12期7卷 2031-2042页

作者： CHEN Jian-jun ZHENG Yao Center for Engineering and Scientific Computation School of Computer Science Zhejiang University Hangzhou 310027 China

Boundary recovery is one of the main obstacles in applying the Delaunay criterion to mesh generation. A stan- dard resolution is to add Steiner points directly at the intersection positions between missing boundaries and triangulations. We redesign the algorithm with the aid of some new concepts, data structures and operations, which make its implementation routine. Furthermore, all possible intersection cases and their solutions are presented, some of which are seldom discussed in the litera- ture. Finally, numerical results are presented to evaluate the performance of the new algorithm.

关键词： Boundary recovery Delaunay triangulation Mesh generation Data structure

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A High-Temperature Capable Planar-type Coaxial Probe for Complex Permittivity Measurements Up to 40GHz

A High-Temperature Capable Planar-type Coaxial Probe for Com...

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2007 IEEE/MTT-S International Microwave Symposium (IMS 2007), vol.2

作者： Namgon Kim Jeonghoon Yoon Dongki Kim Jeiwon Cho Changyul Cheon Youngwoo Kwon Center for 3-D Millimeter-Wave Integrated Systems School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea Center for Neural Science Division of Life Sciences Korea Institute of Science and Technology Seoul South Korea Department of Electrical and Computer Engineering University of Seoul Seoul South Korea

A planar-type probe applicable to a wide temperature and frequency range has been developed. The probe employs a low CTE (Coefficient of Thermal Expansion) dielectric material to minimize the effect of thermal expansion for high temperature measurement. Additionally, the coaxial aperture dimensions have been optimized through sensitivity analysis to minimize the uncertainty of the extracted complex permittivity due to variations of the measured S-parameters. Also, the error correction method was used at extreme temperatures to compensate for the effects of the excessive thermal expansion. For validation, distilled water was measured from 0℃ to 100℃ in the frequency range of 0.5～40GHz. The measured complex permittivity shows good agreement with the reference data up to 75℃ without the error correction and up to the boiling point (92℃) with the error correction. To our knowledge, this is the first demonstration of low-cost planar-type probes capable of high temperature operation.

关键词： Coaxial aperture Complex permittivity High temperature Planar-type probe Thermal expansion

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Learning a kernel function for classification with small training samples 06

Learning a kernel function for classification with small tra...

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ICML 2006: 23rd International Conference on Machine Learning

作者： Hertz, Tomer Hillel, Aharon Bar Weinshall, Daphna School of Computer Science and Engineering Center for Neural Computation Hebrew University of Jerusalem Jerusalem 91904 Israel

ISBN: (纸本)1595933832

When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. This kernel is also shown to enhance retrieval based on data similarity. Specifically, we describe KernelBoost - a boosting algorithm which computes a kernel function as a combination of 'weak' space partitions. The kernel learning method naturally incorporates domain knowledge in the form of unlabeled data (i.e. in a semi-supervised or transductive settings), and also in the form of labeled samples from relevant related problems (i.e. in a learning-to-learn scenario). The latter goal is accomplished by learning a single kernel function for all classes. We show comparative evaluations of our method on datasets from the UCI repository. We demonstrate performance enhancement on two challenging tasks: digit classification with kernel SVM, and facial image retrieval based on image similarity as measured by the learnt kernel.

关键词： Learning systems

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Filtering of Discrete Linear Repetitive Processes with H and l2-l Performance

Filtering of Discrete Linear Repetitive Processes with H and...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Ligang Wu James Lam Wojciech Paszke Krzysztof Galkowski Eric Rogers Anton Kummert Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin P. R. China The University of Hong Kong Hong Kong Hong Kong China Institute of Control and Computation Engineering University of Zielona Góra Góra Poland School of Electronics and Computer Science University of Southampton Southampton U.K Faculty of Electrical Information and Media Engineering Communication Theory University of Wuppertal Germany

This paper considers the general filtering problem for a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, known as discrete linear repetitive processes which are of both system-theoretic and applications interest. In particular, new results on the design of filters with guaranteed levels of performance are developed. These take the form of algorithms for the design of an H infin and l 2 -l infin dynamic output feedback filter which guarantees that the resulting filtering error process is stable and has prescribed disturbance attenuation performance as measured by H infin and l 2 -l infin norms.

关键词： Nonlinear filters Filtering Symmetric matrices Space technology Communication system control Attenuation measurement Algorithm design and analysis Iterative algorithms Optimal control Stability

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