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Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks

Search Space Analysis of Recurrent Spiking and Continuous-ti...

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Ventresca B. Ombuki Systems Design Engineering and member of the Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Waterloo ONT Canada Department of Computing and Information Science University of Guelph Guelph ONT Canada Computer Science Department Brock University Saint Catharines ONT Canada

The problem of designing recurrent continuous-time and spiking neural networks is NP-Hard. A common practice is to utilize stochastic searches, such as evolutionary algorithms, to automatically construct acceptable networks. The outcome of the stochastic search is related to its ability to navigate the search space of neural networks and discover those of high quality. In this paper we investigate the search space associated with designing the above recurrent neural networks in order to differentiate which network should be easier to automatically design via a stochastic search. Our investigation utilizes two popular dynamic systems problems; (1) the Henon map and (2) the inverted pendulum as a benchmark.

关键词： Neural networks Recurrent neural networks Stochastic processes Chaotic communication Neurons Biological system modeling Evolutionary computation Navigation Helium Visualization

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CNN Wave Computing: Theory, Architectures, Implementations and Applicaions

CNN Wave Computing: Theory, Architectures, Implementations a...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Marco Gilli Csaba Rekeczky Bertram Shi Department of Electronics Politecnico di Turino Torino Italy Analogic and Neural Computing Systems Laboratory of the Computer and Automation Information Technology Department Institute of the Hungarian Academy of Sciences Budapest Hungary Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

A cellular neural/nonlinear network (CNN) is any spatial arrangement of mainly locally coupled cells, where each cell is a dynamical system which has an input, an output and a state that evolves according to some prescribed dynamical laws. Since the CNN was first introduced in 1988, research in this field has developed rapidly. The goal of this tutorial is to provide participants with a snapshot of the current state of the art and research trends. It covers the broad multi-disciplinary areas of CNN research, from theoretical aspects to applications. The presenters have experience ranging from theoretical analysis of CNN dynamics, VLSI implementation and system level applications

关键词： Cellular neural networks computer architecture computer networks Very large scale integration Analog computers computer interfaces computer vision Biological system modeling Nonlinear dynamical systems computer industry

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Adaptive nonlinear auto-associative modeling through manifold learning

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9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2005

作者： Zhang, Junping Li, Stan Z. Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences China National Laboratory of Pattern Recognition Center for Biometrics and Security Research Institute of Automation Beijing 100080 China

ISBN: (纸本)3540260765

We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separately and recognition thereby. Unlike traditional supervised manifold learning algorithm, the proposed ANAM algorithm has several advantages: 1) it implicitly embodies discriminant information because the suboptimal parameters of ANAM are determined based on error rate of the validation set. 2) it avoids the curse of dimensionality without loss accuracy because recognition is completed in the original space. Experiments on character and digit databases show that the advantages of the proposed ANAM algorithm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Learning systems

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Supervised tensor learning

Supervised tensor learning

引用

IEEE International Conference on Data Mining (ICDM)

作者： Dacheng Tao Xuelong Li Weiming Hu S. Maybank Xindong Wu School of Computer Science and Information Systems Birkbeck College University of London UK National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences China Department of Computer Science University of Vermont USA

This paper aims to take general tensors as inputs for supervised learning. A supervised tensor learning (STL) framework is established for convex optimization based learning techniques such as support vector machines (SVM) and minimax probability machines (MPM). Within the STL framework, many conventional learning machines can be generalized to take n/sup th/-order tensors as inputs. We also study the applications of tensors to learning machine design and feature extraction by linear discriminant analysis (LDA). Our method for tensor based feature extraction is named the tenor rank-one discriminant analysis (TR1DA). These generalized algorithms have several advantages: 1) reduce the curse of dimension problem in machine learning and data mining; 2) avoid the failure to converge; and 3) achieve better separation between the different categories of samples. As an example, we generalize MPM to its STL version, which is named the tensor MPM (TMPM). TMPM learns a series of tensor projections iteratively. It is then evaluated against the original MPM. Our experiments on a binary classification problem show that TMPM significantly outperforms the original MPM.

关键词： Tensile stress Machine learning Support vector machines Supervised learning Data mining Support vector machine classification computer science Minimax techniques Feature extraction Linear discriminant analysis

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Z-tiles: Building blocks for modular, pressure-sensing floorspaces

Z-tiles: Building blocks for modular, pressure-sensing floor...

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Conference on Human Factors in Computing systems, CHI EA 2004

作者： Richardson, Bruce Leydon, Krispin Fernström, Mikael Paradiso, Joseph A. Interaction Design Centre Department of Computer Science and Information Systems University of Limerick Limerick Ireland MIT Media Laboratory 77 Massachusetts Avenue Cambridge MA 02142 United States

ISBN: (纸本)1581137036

A new interactive floorspace has been developed which uses modular nodes connected together to create a pressure-sensitive area of varying size and shape, giving it the potential to be integrated into an interactive environment. The floorspace uses an array of force-sensitive resistors on each node to detect pressure, and that pressure information is output by way of a self-organised network formed by the floor nodes. This paper describes the pressure sensing and network systems, suggests potential applications of the floorspace, and introduces the further research on in-network data aggregation being carried out using the system's framework. © 2004 ACM.

关键词： Building materials

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Petri net modeling and lagrangian relaxation approach to vehicle scheduling in 300mm semiconductor manufacturing

Petri net modeling and lagrangian relaxation approach to veh...

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IEEE International Conference on Robotics and automation (ICRA)

作者： Da-Yin Liao MuDer Jeng MengChu Zhou Department of Information Management National Chi Nan University Nantou Taiwan Department of Electrical Engineering National Taiwan Ocean University Keelung Taiwan Laboratory of Complex Systems and Intelligence Science Institute of Automation CAS Beijing China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark USA

Instead of making decisions with fast but local dispatching functions, the increasing computing power and up-to-moment information provisioning have made possible real-time vehicle scheduling in an automated material handling environment in 300mm semiconductor manufacturing. To our best knowledge, this paper is the first work to adopt the scheduling approach to solve the 300mm vehicle transportation problems. We adopt Petri nets to model the coupling dynamics among transport jobs and OHT vehicles in an intrabay loop. The congestion phenomenon among OHT vehicles is captured. The OHT scheduling problem is then formulated into an integer programming problem whose goal is to efficiently allocate OHT vehicles to jobs such that average job delivery time is minimized. A solution methodology that combines Lagrangian relaxation and the surrogate subgradient methods [13] is developed. To reduce computational efforts in solving each subproblem optimally, an approximation method is developed to solve for subproblems. A heuristic algorithm is developed to adjust the dual solution to a feasible schedule. Numerical results demonstrate that our solution methodology can generate good schedules within a reasonable amount of computation time for realistic problems. Compared to a popular vehicle dispatching rule, our approach can achieve 25.6% improvements on the average delivery time in our realistic test cases.

关键词： Lagrangian functions Vehicles Job shop scheduling Virtual manufacturing Semiconductor device manufacture Processor scheduling Dispatching computer aided manufacturing Materials handling Manufacturing automation

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Application of novel hierarchical approach to formal verification of digital ICs

Application of novel hierarchical approach to formal verific...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： F.A. El-Licy H.S. Abdel-Aty-Zohdy Department of Information and Computer Science Institute of Statistical Studies and Research Cairo University Egypt Microelectronics System Design Laboratory Electrical and Systems Engineering Oakland University MI USA

A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit functionality for the purpose of verifying design correctness. VLSIC design specification in the form of HDL is hierarchically decomposed to generate logical formulae for the given specification. By comparing the above, a verification report is obtained

关键词： Formal verification Logic design Binary trees Hardware design languages Production Very large scale integration Electrical capacitance tomography Combinational circuits Data structures Boolean functions

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3D fractal compression for real-time video

3D fractal compression for real-time video

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International Symposium on Image and Signal Processing and Analysis

作者： A. Chabarchine R. Creutzburg Department of Automation and Information Technology Ural State Technical University Ekaterinburg Russia Digital and Computer Systems Laboratory Tampere University of Technology Tampere Finland Department of Computer Science and Media Fachhochschule Brandenburg University of Applied Sciences Brandenburg Germany

ISBN: (纸本)9539676940

A method of image sequence encoding is presented, based on fractal compression of 3D data blocks without searching. A simple fractal transform scheme is used that only depends on one real-valued coefficient. We have developed a software codec for the Windows95 operating system, that carries out video streams in real-time. The method can be further developed for application to videoconferencing, videotelephony or streaming video over the Internet.

关键词： Fractals Video compression Image coding Streaming media Image sequences Codecs Operating systems Real time systems Application software Teleconferencing

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The analysis of a simple k-means clustering algorithm 00

The analysis of a simple k-means clustering algorithm

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Proceedings of the sixteenth annual symposium on Computational geometry

作者： Tapas Kanungo David M. Mount Nathan S. Netanyahu Christine Piatko Ruth Silverman Angela Y. Wu Center for Automation Research University of Maryland College Park Maryland Department of Computer Science University of Maryland College Park Maryland Department of Mathematics and Computer Science Bar-Ilan University Ramat-Gan 52900 Israel and Center for Automation Research University of Maryland College Park Maryland The Johns Hopkins University Applied Physics Laboratory Laurel Maryland Department of Computer Science University of the District of Columbia Washington DC and Center for Automation Research University of Maryland College Park Maryland Department of Computer Science and Information Systems The American University Washington DC

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Computing nearest neighbors for moving points and applications to clustering 99

Computing nearest neighbors for moving points and applicatio...

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Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms

作者： Tapas Kanungo David M. Mount Nathan S. Netanyahu Christine Piatko Ruth Silverman Angela Y. Wu Center for Automation Research University of Maryland College Park Maryland Department of Computer Science University of Maryland College Park Maryland Center for Automation Research University of Maryland College Park and CESDIS NASA Goddard Space Flight Center The Johns Hopkins University Applied Physics Laboratory Laurel Maryland Department of Computer Science University of the District of Columbia Washington DC and Center for Automation Research University of Maryland College Park Maryland Department of Computer Science and Information Systems The American University Washington DC

No abstract available.

ISBN: (纸本)9780898714340

No abstract available.

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