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检索条件"主题词=Algorithm development"

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Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm

Consistent estimation of shape parameters in statistical sha...

引用

Conference on Medical Imaging - Image Processing

作者： Shen, Kaikai Bourgeat, Pierrick Fripp, Jurgen Meriaudeau, Fabrice Salvado, Olivier CSIRO ICT Ctr Australian E Hlth Res Ctr Herston Qld Australia Univ Bourgogne CNRS LE2I UMR 5158 F-21004 Dijon France

ISBN: (纸本)9780819489630

In order to fit an unseen surface using statistical shape model (SSM), a correspondence between the unseen surface and the model needs to be established, before the shape parameters can be estimated based on this correspondence. The correspondence and parameter estimation problem can be modeled probabilistically by a Gaussian mixture model (GMM), and solved by expectation-maximization iterative closest points (EM-ICP) algorithm. In this paper, we propose to exploit the linearity of the principal component analysis (PCA) based SSM, and estimate the parameters for the unseen shape surface under the EM-ICP framework. The symmetric data terms are devised to enforce the mutual consistency between the model reconstruction and the shape surface. The a priori shape information encoded in the SSM is also included as regularization. The estimation method is applied to the shape modeling of the hippocampus using a hippocampal SSM.

关键词： Expectation maximization algorithms Statistical modeling Data modeling Principal component analysis Error analysis Statistical analysis Detection and tracking algorithms Reconstruction algorithms algorithm development Shape analysis

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A General Theory on First Passage Times with Applications to Adaptive Decision Making 21

A General Theory on First Passage Times with Applications to...

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Conference on Unmanned Systems Technology XXI

作者： Chen, Xinjia Northwestern State Univ Louisiana Dept Engn Technol Natchitoches LA 71497 USA

ISBN: (数字)9781510627086

ISBN: (纸本)9781510627086

Modern intelligent systems are expected to be able to learn from experience, making decisions on the basis of the available information and proceeding step by step to a desired goal. An important specification of such adaptive decision making method is the amount of time to accomplish a decision. In this paper, we propose a random walk model for such decision making method. The model involves random processes which have independent stationary increments. The decision times are formulated as first passage times dependent on the parameters of decision rules. Asymptotic and nonasymptotic results are developed for the analysis of first passage times.

关键词： Nickel Stochastic processes Intelligence systems Probability theory algorithm development Convex optimization Process modeling Machine learning Statistical inference Unmanned systems

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Fast Multi-Layered Prediction algorithm for Group of Pictures in H.264/SVC

Fast Multi-Layered Prediction Algorithm for Group of Picture...

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Conference on Real-Time Image and Video Processing 2011

作者： Abdelazim, Abdelrahman Mein, Stephen James Varley, Martin Roy Grecos, Christos Ait-Boudaoud, Djamel Univ Cent Lancashire Preston PR1 2HE Lancs England Univ West Scoatland Paisley Renfrew Scotland Univ Portsmouth Portsmouth Hants England

ISBN: (纸本)9780819484086

The objective of scalable video coding is to enable the generation of a unique bitstream that can adapt to various bit-rates, transmission channels and display capabilities. The scalability is categorised in terms of temporal, spatial, and quality. To improve encoding efficiency, the SVC scheme incorporates inter-layer prediction mechanisms which increases complexity of overall encoding. In this paper several conditional probabilities are established relating motion estimation characteristics and the mode distribution at different layers of the H.264/SVC. An evaluation of these probabilities is used to structure a low-complexity prediction algorithm for Group of Pictures (GOP) in H.264/SVC, reducing computational complexity whilst maintaining similar performance. When compared to the JSVM software, this algorithm achieves a significant reduction of encoding time, with a negligible average PSNR loss and bit-rate increase in temporal, spatial and SNR scalability. Experiments are conducted to provide a comparison between our method and a recently developed fast mode selection algorithm. These demonstrate our method achieves appreciable time savings for scalable spatial and scalable quality video coding, while maintaining similar PSNR and bit rate.

关键词： Computer programming Scalable video coding Signal to noise ratio algorithm development Motion estimation Video Video coding Distortion Multilayers Temporal resolution

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EVALUATION OF COASTAL ZONE COLOR SCANNER DIFFUSE ATTENUATION COEFFICIENT algorithmS FOR APPLICATION TO COASTAL WATERS

EVALUATION OF COASTAL ZONE COLOR SCANNER DIFFUSE ATTENUATION...

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CONF ON OCEAN OPTICS 10

作者： MUELLER, JL TREES, CC ARNONE, RA San Diego State Univ. (United States) Naval Oceanographic and Atmospheric Research Lab (United States)

ISBN: (纸本)0819403539

The Coastal Zone Color Scannez (ZCS) and associated atmospheric and in-water algorithms have allowed synoptic analyses of regional and large scale variability of bio-optical properties [phytoplankton pigments and diffuse auenuation coefficient K(490)}. Austin and Petzold (1981) developed a robust in-water K(490) algorithm which related the diffuse attenuation coefficient at one optical depth [1/K(490)] to the ratio of the water-leaving radiances at 443 and 550 nm. Their regression analysis included diffuse attenuation coefficients K(490) up to 0.40 nm, but excluded data from estuarine areas, and other Case II waters, where the optical properties are not predominantly determined by phytoplankton. In these areas, errors are induced in the retrieval of remote sensing K(490) by extremely low water-leaving radiance at 443 nm [L_w(443) as viewed at the sensor may only be 1 or 2 digital counts], and improved cury can be realized using algorithms based on wavelengths where L_w(λ) is larger. Using ocean optical profiles quired by the Visibility Laboratory, algorithms are developed to predict K(490) from ratios of water leaving radiances at 520 and 670, as well as 443 and 550 nm.

关键词： Ocean optics Signal attenuation algorithm development Data modeling Remote sensing Solids Atmospheric corrections Coastal modeling Radon Scanners

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SmartHealthSys 2014: ACM UbiComp International Workshop on Smart Health Systems and Applications

SmartHealthSys 2014: ACM UbiComp International Workshop on S...

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ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)

作者： Ghasemzadeh, Hassan Cook, Diane Pavel, Misha Rashidi, Parisa Jafari, Roozbeh Skubic, Marjorie Ong, Michael Demiris, George Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA Northeastern Univ Coll Comp & Informat Sci Boston MA 02115 USA Univ Florida Dept Biomed Engn Gainesville FL 32611 USA Univ Texas Dallas Dept Elect Engn Richardson TX 75080 USA Univ Missouri Elect & Comp Engn Columbia MO 65211 USA Univ Calif Los Angeles David Geffen Sch Med Los Angeles CA 90095 USA Univ Washington Sch Nursing Seattle WA 98195 USA Univ Washington Sch Med Seattle WA 98195 USA

ISBN: (纸本)9781450330473

SmartHealthSys 2014 will be a cross-disciplinary workshop that brings researchers from engineering, computer science, and medicine together to discuss latest findings in this area and advance the field. This interactive workshop will be inspiring for anyone conducting research in the area of mobile and connected health. This includes research in technology design and development as well as clinical studies and novel application areas. The workshop is one day long and includes a keynote, paper presentation sessions, and several discussion sessions.

关键词： Smart Health Wellbeing System Design algorithm development Scalability

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Soft computing applications: the advent of hybrid systems

Soft computing applications: the advent of hybrid systems

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Conference on Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation

作者： Bonissone, PP Gen Elect Corp Res R&D Schenectady NY 12309 USA

ISBN: (纸本)0819429104

Soft Computing is a new field of Computer Sciences that deals with the integration of problem-solving technologies such as Fuzzy Logic, Probabilistic Reasoning, Neural Networks, and Genetic algorithms. Each of these technologies provide us with complementary reasoning and searching methods to solve complex, real-world problems. We will analyze some of the most synergistic combinations of Soft Computing technologies, with an emphasis on the development of smart algorithm-controllers, such as the use of FL to control GAs and NNs parameters. We will also discuss the application of GAs to evolve NNs (topologies or weights) or to tune FL controllers;and the implementation of FL controllers as NNs tuned by backpropagation-type algorithms. We will conclude with a detailed description of a GA-tuned Fuzzy Controller to implement a train handling control.

关键词： Fuzzy logic algorithm development Genetic algorithms Systems modeling Neural networks Computer programming Computing systems Device simulation Control systems Evolutionary algorithms

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VECTOR NEURAL-NETWORK SIGNAL INTEGRATION FOR RADAR APPLICATION

VECTOR NEURAL-NETWORK SIGNAL INTEGRATION FOR RADAR APPLICATI...

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Conference on Signal and Data Processing of Small Targets 1994

作者： BIERMAN, G Air Force Wright Lab. (United States)

ISBN: (纸本)0819415391

The Litton Data Systems Vector Neural Network (VNN) is a unique multi-scan integration algorithm currently in development. The target of interest is a low-flying cruise missile. Current tactical radar cannot detect and track the missile in ground clutter at tactically useful ranges. The VNN solves this problem by integrating the energy from multiple frames to effectively increase the target's signal-to-noise ratio. The implementation plan is addressing the APG-63 radar. Real-time results will be available by March 1994.

关键词： Radar Missiles Target detection Detection and tracking algorithms Neural networks Neurons Signal to noise ratio algorithm development Doppler effect Signal detection

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On Investigating Social Dynamics in Tactical Opportunistic Mobile Networks

On Investigating Social Dynamics in Tactical Opportunistic M...

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19th Conference on Open Architecture (OA) / Open Business Model (OBM) Net-Centric Systems and Defense Transformation

作者： Gao, Wei Li, Yong Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

ISBN: (纸本)9781628410334

The efficiency of military mobile network operations at the tactical edge is challenging due to the practical Disconnected, Intermittent, and Limited (DIL) environments at the tactical edge which make it hard to maintain persistent end-to-end wireless network connectivity. Opportunistic mobile networks are hence devised to depict such tactical networking scenarios. Social relations among warfighters in tactical opportunistic mobile networks are implicitly represented by their opportunistic contacts via short-range radios, but were inappropriately considered as stationary over time by the conventional wisdom. In this paper, we develop analytical models to probabilistically investigate the temporal dynamics of this social relationship, which is critical to efficient mobile communication in the battlespace. We propose to formulate such dynamics by developing various sociological metrics, including centrality and community, with respect to the opportunistic mobile network contexts. These metrics investigate social dynamics based on the experimentally validated skewness of users' transient contact distributions over time.

关键词： Printed circuit board testing Mobile communications Relays algorithm development Convolution Network architectures Social networks Stochastic processes Systems modeling Wireless communications

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CONTOUR ANALYSIS algorithmS FOR HIGH SPEED INSPECTION

CONTOUR ANALYSIS ALGORITHMS FOR HIGH SPEED INSPECTION

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13th Conference on Intelligent Robots and Computer Vision: 3D Vision, Product Inspection, and Active Vision

作者： KILLE, K FRAUNHOFER INST MFG ENGN & AUTOMAT D-70569 STUTTGARTGERMANY

ISBN: (纸本)0819416894

The visual inspection of many industrial products is based on contour analysis. The main task is the detection of defects like cracks and chips. The automation of this visual inspection procedure requires robust and flexible systems and algorithms. This paper describes new contour analysis algorithms for defect detection. Innovative techniques for contour filtering and analysis (e.g., scale-space analysis) are presented. The performance of different approaches is shown by several industrial examples and applications.

关键词： Inspection Defect detection Gaussian filters Optical inspection Detection and tracking algorithms Object recognition Tolerancing algorithm development Analytical research Shape analysis

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Method for accurate quantitation of background tissue optical properties in the presence of emission from a strong fluorescence marker

Method for accurate quantitation of background tissue optica...

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Conference on Molecular-Guided Surgery - Molecules, Devices, and Applications

作者： Bravo, Jaime Davis, Scott C. Roberts, David W. Paulsen, Keith D. Kanick, Stephen Chad Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Coll Dartmouth Med Sch Hanover NH 03755 USA Dartmouth Hitchcock Med Ctr Sect Neurosurg Lebanon NH 03756 USA Dartmouth Hitchcock Med Ctr Norris Cotton Canc Ctr Lebanon NH 03756 USA

ISBN: (纸本)9781628414011

Quantification of targeted fluorescence markers during neurosurgery has the potential to improve and standardize surgical distinction between normal and cancerous tissues. However, quantitative analysis of marker fluorescence is complicated by tissue background absorption and scattering properties. Correction algorithms that transform raw fluorescence intensity into quantitative units, independent of absorption and scattering, require a paired measurement of localized white light reflectance to provide estimates of the optical properties. This study focuses on the unique problem of developing a spectral analysis algorithm to extract tissue absorption and scattering properties from white light spectra that contain contributions from both elastically scattered photons and fluorescence emission from a strong fluorophore (i.e. fluorescein). A fiber-optic reflectance device was used to perform measurements in a small set of optical phantoms, constructed with Intralipid (1% lipid), whole blood (1 % volume fraction) and fluorescein (0.16-10 mu g/mL). Results show that the novel spectral analysis algorithm yields accurate estimates of tissue parameters independent of fluorescein concentration, with relative errors of blood volume fraction, blood oxygenation fraction (BOF), and the reduced scattering coefficient (at 521 nm) of <7%, <1%, and <22%, respectively. These data represent a first step towards quantification of fluorescein in tissue in vivo.

关键词： Luminescence Reflectivity algorithm development Absorption Optical properties Tissues Scattering Blood Calibration Error analysis

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