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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

IEEE/CAA Journal of Automatica Sinica 2016年第2期3卷 113-120页

作者： Fei-Yue Wang Jun Jason Zhang Xinhu Zheng Xiao Wang Yong Yuan Xiaoxiao Dai Jie Zhang Liuqing Yang IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology the Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver the Department of Computer Science and Engineering University of Minnesota the Qingdao Academy of Intelligent Industries (QAII) Qingdao Shandong China and SKL-MCCS CASIA the Department of Electrical and Computer Engineering Colorado State University

An investigation on the impact and significance of the AlphaGo vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the AlphaGo Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence. Specifically, the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation. © 2014 Chinese Association of Automation.

关键词： Religious buildings

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Image segmentation using human visual system properties with applications in image compression

Image segmentation using human visual system properties with...

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Human Vision, Visual processing, and Digital Display 1989

作者： Peterson, Heidi A. Rajala, Sarah A. Delp, Edward J. Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West LafayetteIN47907 United States Department of Electrical and Computer Engineering North Carolina State University RaleighNC27695 United States

Many image compression techniques involve segmentation of a gray level image. With such techniques, information is extracted that describes the regions in the segmented image, and this information is then used to form a coded version of the image. In this paper we present a region-growing-based segmentation technique that incorporates human visual system properties, and describe the use of this technique in image compression. We also discuss the effect of requantizing a segmented image. Requantization of a segmented image is useful because it can lead to a reduction in the number of bits required to code the description of the regions in the segmented image. This results in a lower data rate. We show that the number of gray levels in a segmented image can be reduced by a factor of at least twelve, without noticeable degradation in the quality of the segmented image. This result is attributable to human visual system properties having to do with contrast sensitivity, and to the fact that requantization of a segmented image does not usually reduce significantly the number of distinct segments in the image. In addition, in this paper we explore the relationship between the number of segments in an image, and the extent of requantization possible before noticeable degradation occurs in the image. Finally, we discuss the impact of the above results on image compression algorithms, and present some experimental results. © 1989 SPIE. All rights reserved.

关键词： Image compression

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Analysis of stochastic gradient identification of Hermite polynomial systems with memory

Analysis of stochastic gradient identification of Hermite po...

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5th International Symposium on Signal processing and Its Applications, ISSPA 1999

作者： Celka, P. Bershad, N.J. Vesin, J.M. Department of Electrical Engineering Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne 1015 Switzerland Department of Electrical and Computer Engineering School of Engineering University of California Imine CA 92697 United States

ISBN: (纸本)1864354518

This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme which identifies an orthogonal polynomial-type nonlinear system with memory. The analysis includes recursions for the mean and fluctuation behavior of the adaptive parameters as well computation of the mean-square error increase due to the adaptation process. © 1999 IEEE.

关键词： Mean square error

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Effective shot boundary classification using video spatial-temporal information

Effective shot boundary classification using video spatial-t...

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IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

作者： Hong, Lu Bei, Wang Xiangyang, Xue Tan, Yap-Peng Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9780780388345

We propose in this paper a new video shot boundary classification (SBC) method. First we present a method to extract features, which exploits the spatial-temporal information of video frames in a sliding window centered at the detected shot boundary. Then feature projection and classification methods such as principal component analysis (PCA) and linear discriminant analysis (LDA) combined with k-nearest neighbor classification, and hierarchical discriminant regression (HDR) are proposed to classify different types of shot boundaries. Experimental results have shown the effectiveness of the proposed SBC method. © 2005 IEEE.

关键词： Principal component analysis

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Efficient rate control for MPEG-2 to H.264/AVC transcoding

Efficient rate control for MPEG-2 to H.264/AVC transcoding

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IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

作者： Xiao, You-Neng Lu, Hong Xue, Xiangyang Nguyen, Viet-Anh Tan, Yap-Peng Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9780780388345

A new video coding standard H.264/AVC has been recently standardized. It achieves its high coding efficiency by employing a number of advances in video coding technology. In this paper we propose an efficient rate control method for MPEG-2 to H.264/AVC transcoding. Specifically, the values of quantization parameters for I and B frames are computed adaptively based on the side information from the precoded video. Simulations show that our proposed method can meet the target bitrate accurately and achieves a better performance than the rate control scheme of the reference software H.264/AVC JM 7.4 without increasing the complexity. © 2005 IEEE.

关键词： Motion Picture Experts Group standards

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Dynamic noise aware training for speech enhancement based on deep neural networks 15

Dynamic noise aware training for speech enhancement based on...

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15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014

作者： Xu, Yong Du, Jun Dai, Li-Rong Lee, Chin-Hui National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China China School of Electrical and Computer Engineering Georgia Institute of Technology United States

We propose three algorithms to address the mismatch problem in deep neural network (DNN) based speech enhancement. First, we investigate noise aware training by incorporating noise information in the test utterance with an ideal binary mask based dynamic noise estimation approach to improve DNN's speech separation ability from the noisy signal. Next, a set of more than 100 noise types is adopted to enrich the generalization capabilities of the DNN to unseen and non-stationary noise conditions. Finally, the quality of the enhanced speech can further be improved by global variance equalization. Empirical results show that each of the three proposed techniques contributes to the performance improvement. Compared to the conventional logarithmic minimum mean squared error speech enhancement method, our DNN system achieves 0.32 PESQ (perceptual evaluation of speech quality) improvement across six signal-to-noise ratio levels ranging from -5dB to 20dB on a test set with unknown noise types. We also observe that the combined strategies can well suppress highly non-stationary noise better than all the competing state-of-the-art techniques we have evaluated. Copyright © 2014 ISCA.

关键词： Speech enhancement

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Efficient approach for repeated patterns mining based on indent shape of HTML documents

Efficient approach for repeated patterns mining based on ind...

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3rd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011

作者： Zhu, Yanxu Yin, Gang Wang, Huaimin Shi, Dianxi Rao, Xiang Yuan, Lin School of Computer National Laboratory for Parallel and Distributed Processing National University of Defense Technology 410073 Changsha Hunan China College of Electronic Technology Information Engineering University 450004 Zhengzhou Henan China

ISBN: (纸本)9780769545578

Mining of repeated patterns from HTML documents is the key step towards Web-based data mining and knowledge extraction. Many web crawling applications need efficient repeated patterns mining techniques to generate their wrapper automatically. Existing approaches such as tree matching and string matching can detect repeated patterns with high precision, but their performance is still a challenge for practical web crawling applications. In this paper, we propose an efficient approach for mining repeated patterns based on indent shape of HTML document. Indent shape is a novel and simple model of HTML document, in which tandem repeated waves have strong association with the repeated patterns to be detected. By scanning an indent shape with a horizontal indent-line from bottom to top, the tandem repeated waves are identified by filtering the wave segments with low self-similarities. After that the boundary of HTML code corresponding to repeated patterns can be identified, which could be transformed to regular expressions formal-defined easily. Extensive experiments on two practical data sets retrieved from Internet show that our approach achieves high efficiency significantly, and its precision performance is also generally better than the existing approaches. © 2011 IEEE.

关键词： HTML

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Multiframe weak target track-before-detect based on pseudo-spectrum in mixed coordinates

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Chinese Journal of Aeronautics 2022年第5期35卷 97-113页

作者： Liangliang WANG Gongjian ZHOU Thiagalingam KIRUBARAJAN School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China Key Laboratory of Marine Environmental Monitoring and Information Processing Ministry of Industry and Information TechnologyHarbin 150001China Department of Electrical and Computer Engineering McMaster UniversityONHamilton L8S 4K1Canada

Traditional multiframe Track-Before-Detect(TBD)may incur adverse integration loss resulting from model mismatch in sensor *** suboptimal integration strategy may cause target envelope *** address these issues,a pseudo-spectrum-based multiframe TBD in mixed coordinates is proposed *** data search for energy integration is conducted based on an accurate model in the x-y plane while target energy is integrated based on pseudo-spectrum in sensor *** algorithm performance is improved since the model mismatch is eliminated,and the pseudo-spectrum based integration facilitates well maintained target *** detailed multiframe integration procedure and theoretical target integrated envelope are ***,to cope with the unknown target velocity,a velocity filter bank based on pseudo-spectrum in mixed coordinates is *** effect of velocity mismatch on algorithm performance is analyzed and an efficient method for filter bank design is ***,a parameter estimation method using characteristics of integrated envelope is presented for improved target polar position and Cartesian velocity ***,numerical results are provided to demonstrate the effectiveness of the proposed method.

关键词： Mixed coordinates Multiframe detection Pseudo-spectrum Track-before-detect Weak target detection

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Program segmentation for TV videos

Program segmentation for TV videos

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IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

作者： Liang, Liuhong Lu, Hong Xue, Xiangyang Tan, Yap-Peng Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Shanghai Singapore

ISBN: (纸本)9780780388345

A number of video browsing and retrieval systems use a hierarchical video structure (video, scene, group, shot, and key frame) as the basis for information organization and access. However, this structure cannot represent and manage efficiently the videos recorded from TV channels, since TV videos are usually very long and consist of many scenes. More importantly, people tend to watch these videos by program and not by scenes or shots. To address this problem, we insert a new structure level, referred to as program, between the video and scene level to enhance the hierarchical structure representation. An automatic program segmentation algorithm is presented for constructing the video structure in this paper. Experimental results based on real-world TV videos demonstrate the effectiveness of the proposed approach. © 2005 IEEE.

关键词： Hierarchical systems

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Accelerating geospatial analysis on GPUs using CUDA

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Journal of Zhejiang University-Science C(computers and Electronics) 2011年第12期12卷 990-999页

作者： Ying-jie XIA Li KUANG Xiu-mei LI Hangzhou Institute of Service Engineering Hangzhou Normal University Hangzhou 310012 China Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China Provincial Key Laboratory for Computer Information Processing Technology Sooehow University Soochow 215006 China

Inverse distance weighting (IDW) interpolation and viewshed are two popular algorithms for geospatial *** interpolation assigns geographical values to unknown spatial points using values from a usually scattered set of known points,and viewshed identifies the cells in a spatial raster that can be seen by *** the implementations of both algorithms are available for different scales of input data,the computation for a large-scale domain requires a mass amount of cycles,which limits their *** to the growing popularity of the graphics processing unit (GPU) for general purpose applications,we aim to accelerate geospatial analysis via a GPU based parallel computing *** this paper,we propose a generic methodological framework for geospatial analysis based on GPU and its programming model Compute Unified Device Architecture (CUDA),and explore how to map the inherent parallelism degrees of IDW interpolation and viewshed to the framework,which gives rise to a high computational *** CUDA-based implementations of IDW interpolation and viewshed indicate that the architecture of GPU is suitable for parallelizing the algorithms of geospatial *** results show that the CUDA-based implementations running on GPU can lead to dataset dependent speedups in the range of 13-33-fold for IDW interpolation and 28-925-fold for viewshed *** computation time can be reduced by an order of magnitude compared to classical sequential versions,without losing the accuracy of interpolation and visibility judgment.

关键词： General purpose GPU CUDA Geospatial analysis parallelization

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