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ieee symposium on Foundations of computational intelligence, FOCI

The following topics are dealt with: computational intelligence; fuzzy system; evolutionary algorithms; fuzzy classification; real-life computing; lifelog data sensing; lifelog data modeling; artificial immune system; information theoretic learning; neural network learning architecture; granular computing; rough sets; inteval methodologies; evolutionary games; fuzzy sets; fuzzy aggregation; fuzzy logic control; image and signal processing; and fuzzy clustering

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A Flexible Fully-Multiplicative Orthogonal-Group Based ICA Algorithm

A Flexible Fully-Multiplicative Orthogonal-Group Based ICA A...

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ieee symposium on computational intelligence and Bioinformatics and computational Biology (CIBCB)

作者： Yalan Ye Jing Wan Zhi-Lin Zhang Chen Jia Wu Lei School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Institute of Image Processing and Pattern Recognition Shanghai JiaoTong University Shanghai China

In this paper, we propose a flexible fully-multiplicative orthogonal-group based ICA (FlexibleOgICA) algorithm, which can instantaneously separate the mixture of sub-Gaussian and super-Gaussian source signals. It adopts a self-adaptive nonlinear function, which adjusts its parameter to achieve better performance based on the estimation of the kurtosis of super-Gaussian source signals. We also have successfully applied the algorithm to obtain the fetal electrocardiogram (FECG) signal, showing its fast convergence speed and high separation performance

关键词： Independent component analysis signal processing algorithms Convergence computational intelligence Bioinformatics computational biology signal processing Multidimensional signal processing Biomedical signal processing Switches

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An image protection scheme using the wavelet coefficients based on fingerprinting technique

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International Conference on computational-intelligence and Security

作者： Shin, Jin-Wook Yang, Ju Cheng Yoon, Sook Park, Dong-Sun Jeonbuk Elect & Informat Technol BK21 Adv Grad Educ Ctr Jeonbuk South Korea Chonbuk Natl Univ Dept Infor & Comm Engn Jeonju 561756 South Korea Mokpo Natl Univ Div Inform Engn Major Multmedia Engn Mokpo South Korea

ISBN: (纸本)9783540743767

Various technologies have been used to protect the copyrights of digital contents from illegal or unintentional attacks. Watermarking methods protect digital contents by embedding a watermark message into them. However, since conventional watermarking algorithms change original digital contents to embed digital watermarks using various embedding methods, they result in the degradation of digital contents and decrease the fidelity of digital contents. A fingerprinting technique can be also used for protecting digital contents. However this method may have high computational complexity to generate unique features for digital contents. In order to provide the excellent fidelity, the proposed technique distributes original digital contents without any change like fingerprinting technique and just generates the content-associated information, which is combined wavelet coefficients with copyright message and used to extract copyright message afterward. Experimental results show that the proposed method outperforms an existing method for various signal processing attacks.

关键词： image coding

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EM Techniques for the Detection of Breast Cancer

EM Techniques for the Detection of Breast Cancer

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2010 ieee International symposium Antennas and Propagation/CNC-USNC/URSI Radio Science Meeting

作者： Yang, Fan Mohan, Ananda S. Univ Technol Sydney Fac Engn & IT Ctr Hlth Technol Sydney NSW 2007 Australia

ISBN: (纸本)9781424449682

Radar based microwave imaging technique has great potential for breast cancer detection. It has been demonstrated by recent experiments that the data adaptive radar microwave imaging reveals good image resolution. However, purely scattered energy based image reconstruction methods can face major challenges in differentiation since the fibroconnective and glandular tissues which could have similar dielectric properties as that of malignant tissues. It has been proposed that the morphological features of the tissue can differentiate the benign from malignant tissues due to their irregular, spiculated shapes. Thus to efficiently differentiate the healthy, benign and breast tissues, this paper proposes a method that combines a novel data-independent beamformer called MWDAS method with Matrix Pencil (MP) method to first localize the suspicious region and then extract the resonant frequency and damping factor of complex natural resonance (CNR) of the malignant tissues. We employ FD-TD based computational 2D and 3D breast models for testing our method.

关键词： EM techniques FDTD method array signal processing biological organs biomedical imaging breast cancer detection breast tissues cancer complex natural resonance data adaptive radar microwave imaging data-independent beamformer dielectric properties energy based image reconstruction method fibroconnective tissues finite difference time-domain analysis glandular tissues image resolution image resolution malignant tissues mammography matrix pencil method microwave imaging morphological features radar imaging resonant frequency extraction spiculated shapes

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Neurotransmitter fields

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17th International Conference on Artificial Neural Networks (ICANN 2007)

作者： Greer, Douglas S. Gen Manifolds Princeton NJ 08540 USA

ISBN: (纸本)9783540746935

Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neurotransmitters in the extracellular space. The dendritic arbor of a new electro-chemical neuron model performs a computation on the surrounding field of neurotransmitters. These fields may represent quantities such as position, force, momentum, or energy. Any computation performed by a neural network has a direct analog to a neurotransmitter field computation. While models that use action potentials as state variables may form associations using matrix operations on a large vector of neuron outputs, the neurotransmitter state model makes it possible for a small number of neurons, even a single neuron, to establish an association between an arbitrary pattern in the input field and an arbitrary output pattern. A single layer of neurons, in effect, performs the computation of a two-layer neural network.

关键词： computational neuroscience signal processing pattern recognition mathematical models natural intelligence neural fields

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computational Models For Life Sciences - CMLS '07: 2007 International symposium on computational Models of Life Sciences

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2007年

作者： Tuan D Pham Tuan Duy Pham Xiaobo Zhou

ISBN: (纸本)9780735404663

All papers have been peer-reviewed. This conference aims to bring biologists, medical and health-science researchers together with computational scientists to focus on problems at the frontier of computational life sciences. The conference proceedings consists of research papers addressing novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. Topics include image analysis, computer vision, pattern analysis and classification, information visualization, signal processing, control theory, information theory, statistical analysis, numerical analysis, fractals and chaos, optimization, simulation and modeling, computational intelligence methods, machine learning, data mining, decision support systems, database integration and management.

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Automatic structure interpretation of single particle cryo-electron microscopy: From images to psuedo-atomic models

Automatic structure interpretation of single particle cryo-e...

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4th ieee International symposium on Biomedical Imaging

作者： Bajaj, Chandrajit L. Univ Texas Austin Dept Comp Sci Austin TX 78712 USA

ISBN: (纸本)9781424406715

Three dimensional Electron Microscopy (EM) and in particular single particle reconstruction using cryo-EM, has rapidly advanced over recent years, such that increasingly several macromolecular complexes can be resolved at sub-nanometer resolution (6-10 angstrom). This paper reviews some of the main volumetric image and geometric post-processing steps once a three dimensional EM map (henceforth a 3D map) has been reconstructed from single particle Cryo-EM, as essential steps in an enhanced and automated computational structure interpretation pipeline. In particular the paper addresses automated filtering, critical point calculations, symmetric and non-symmetric molecular domain segmentation, and protein secondary structure (alpha-helices and beta-sheets) elucidation from 3D maps.

关键词： biomedical signal processing biomedical microscopy computational geometry computer aided analysis

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Visual tracking by threshold and scale-based particle filter

Visual tracking by threshold and scale-based particle filter

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5th International symposium on Multispectral image processing and Pattern Recognition

作者： Yin, Hui Cao, Yongfeng Sun, Hong Yang, Wen Wuhan Univ Sch Elect Informat Signal Proc Lab Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469502

Particle filter has attracted much attention due to its robust tracking performance in clutter. However, a price to pay for its robustness is the computational cost. Meanwhile there is no exact mechanism for choosing or updating scale in its framework for accurate tracking. In this paper we propose a threshold and scale based particle filter (TSPF). It employs a threshold to discard the bad particles and keep the good ones. In this case, the efficiency of particles is improved and the number of required particles is greatly reduced. It also adapts Robert T. Collins's theory of selecting kernel scale for mean shift blob tracking to particle filter. Experiments show TSPF works well, both spatially and in scale.

关键词： particle filter color histogram threshold scale space mean shift

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Editorial: The ieee transactions on neural 2010 and beyond

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ieee Transactions on Neural Networks 2010年第1期21卷 1-2页

作者： Liu, Derong Chinese Academy of Sciences Institute of Automation Beijing 100190 China University of Illinois Department of Electrical and Computer Engineering Chicago IL 60607 United States

Not Available

关键词： Neural network INSTITUTE OF ELECTRICAL AND ELECTRONIC ENGINEERS

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Horizontal human face pose determination using pupils and skin region positions

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2nd ieee Pacific Rim symposium on Video and Technology

作者： Suandi, Shahrel A. Tai, Tie Sing Enokida, Shuichi Ejima, Toshiaki Univ Sains Malaysia Sch Elect & Elect Engn Engn Campus Nibong Tebal 14300 Pulau Pinang Malaysia Kyushu Inst Technol Intelligence Media Lab Dept Artificial Intelligence Iizuka Fukuoka 8208502 Japan

ISBN: (纸本)9783540771289

This paper describes a novel real-time technique to determine horizontal human face pose from a video color sequence. The idea underlying this technique is that when head is at an arbitrary pose to the right or left, there are significant relationships between the distance from center of both pupils to head center, and the distance between both pupils. From these distances, we compute a ratio known as "horizontal ratio". This ratio, besides being advantageous in the sense that it reduces the dependency on facial features tracking accuracy and robust to noise, is actually the quantity that is used to determine the horizontal human face pose. The technique is simple, computational cheap and requires only information that is usually retrievable from a face and facial feature tracker.

关键词： multiple view image and processing tracking and motion face pose horizontal ratio eyes and skin region

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