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Determining protrusion cephalometric readings from panoramic radiographic images

Determining protrusion cephalometric readings from panoramic...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Sara A. Ahmed Tamer M. Nassef Neveen I. Ghali Gerald Schaefer Aboul Ella Hassanien Faculty of Science AI-Azhar University Cairo Egypt Faculty of Engineering Misr University for Science and Technology Giza Egypt Department of Computer Science Loughborough University UK Faculty of Computers and lnfonnation Cairo University Cairo Egypt

In the present investigation, positions of head landmarks in panoramic x-ray images in relation to cephalometric landmarks were studied. Special landmarks in right and left sides of mandible were manually identified and calibrated with reference readings. The measured landmarks are compared for both sides with different panoramic duration times. Results between left and right were compared using a thin-plate spline (TPS) geometric tool. The averages of both sides were reported and compared with frontal cephalometric readings. Differences between left and right landmarks were found to be significant in relation to cephalometric landmarks and differences between different duration times.

关键词： Ear Spline Metals MIMICs

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Prediction of dental milling time-error by flexible neural trees and fuzzy rules

Prediction of dental milling time-error by flexible neural t...

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13th International Conference on Intelligent Data engineering and Automated Learning, IDEAL 2012

作者： Krömer, Pavel Novosád, Tomáš Snášel, Václav Vera, Vicente Hernando, Beatriz García-Hernandez, Laura Quintián, Héctor Corchado, Emilio Redondo, Raquel Sedano, Javier García, Alvaro E. Dept. of Computer Science VŠB-Technical University of Ostrava Czech Republic IT4Innovations Ostrava Czech Republic Departamento de Informática Y Automática Universidad de Salamanca Spain Facultad de Odontología UCM Madrid Spain Department of Civil Engineering University of Burgos Burgos Spain Dept. of AI and Applied Electronics Castilla Y León Technological Institute Burgos Spain Area of Project Engineering University of Cordoba Spain

ISBN: (纸本)9783642326387

This multidisciplinary study presents the application of two soft computing methods utilizing the artificial evolution of symbolic structures - evolutionary fuzzy rules and flexible neural trees - for the prediction of dental milling time-error, i.e. the error between real dental milling time and forecast given by the dental milling machine. In this study a real data set obtained by a dynamic machining center with five axes simultaneously is analyzed to empirically test the novel system in order to optimize the time error. © 2012 Springer-Verlag.

关键词： Forecasting

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Human pose estimation in surveillance videos using temporal continuity on static pose

Human pose estimation in surveillance videos using temporal ...

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2011 International Conference on Image Information Processing, ICIIP 2011

作者： Sharma, Anima Mishra Venkatesh, K.S. Mukerjee, Amitabha Center for AI and Robotics DRDO Complex Bangalore India Department of Electrical Engineering Indian Institute of Technology Kanpur India Department of Computer Science and Engineering Indian Institute of Technology Kanpur India

ISBN: (纸本)9781612848617

Human pose estimation from monocular image sequences is attracting increasing attention, and 2D (image-based) as well as 3D (joint-motion based) approaches have been proposed. The former is computationally fast, and works also for less frequent poses, but reliability is low. The latter is computationally expensive owing to the high-dimensionality of the problem, despite attempts at dimensionality-reduction. We propose to impose temporal continuity constraints on the 2D approaches in order to improve reliability and obtain spatio-temporal descriptions of the action in the image plane. In the first stage, at each frame-level spatial localisation will be done by applying background subtraction, after that static image pose estimation is performed using CRF-based probabilistic assembly of parts, based on the approach by Ramanan [1]. Next, pose continuity is imposed via first-order Markovian constraints on the CRF search. This results in improved spatial accuracy as well as significantly reduced search. We present results from the Weizmann video dataset to demonstrate how such an approach can serve as an image-plane based alternative to full 3D modeling or manifold search. © 2011 IEEE.

关键词： Security systems

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Microstructure dynamics and agent-based financial markets

Microstructure dynamics and agent-based financial markets

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Lecture Notes in computer science

作者： Chen, Shu-Heng Kampouridis, Michael Tsang, Edward AI-ECON Research Center Department of Economics National Chengchi University Taiwan School of Computer Science and Electronic Engineering University of Essex United Kingdom

ISBN: (纸本)9783642183447

One of the essential features of the agent-based financial models is to show how price dynamics is affected by the evolving microstructure. Empirical work on this microstructure dynamics is, however, built upon highly simplified and unrealistic behavioral models of financial agents. Using genetic programming as a rule-inference engine and self-organizing maps as a clustering machine, we are able to reconstruct the possible underlying microstructure dynamics corresponding to the underlying asset. In light of the agent-based financial models, we further examine the microstructure both in terms of its short-term dynamics and long-term distribution. The time series of the TaiEX is employed as an illustration of the implementation of the idea. © 2011 Springer-Verlag.

关键词： Dynamics

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Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: A preliminary study 11

Ranking docked models of protein-protein complexes using pre...

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2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, ACM-BCB 2011

作者： Xue, Li C. Jordan, Rafael A. El-Manzalawy, Yasser Dobbs, Drena Honavar, Vasant Bioinformatics and Computational Biology Program Iowa State University Ames IA 50011 United States Department of Genetics Development and Cell Biology Iowa State University Ames 50011 United States Department of Computer Science Iowa State University Ames IA 50011 United States Department of Computer Science Pontificia Universidad Javeriana Cali Colombia Department of Systems and Computer Engineering AI-Azhar University Cairo Egypt

ISBN: (纸本)9781450307963

Computational protein-protein docking is a valuable tool for determining the conformation of complexes formed by interacting proteins. Selecting near-native conformations from the large number of possible models generated by docking software presents a significant challenge in practice. We introduce a novel method for ranking docked conformations based on the degree of overlap between the interface residues of a docked conformation formed by a pair of proteins with the set of predicted interface residues between them. Our approach relies on a method, called PS-HomPPI, for reliably predicting proteinprotein interface residues by taking into account information derived from both interacting proteins. PS-HomPPI infers the residues of a query protein that are likely to interact with a partner protein based on known interface residues of the homo-interologs of the query-partner protein pair, i.e., pairs of interacting proteins that are homologous to the query protein and partner protein. Our results on Docking Benchmark 3.0 show that the quality of the ranking of docked conformations using our method is consistently superior to that produced using ClusPro cluster-size-based and energy-based criteria for 61 out of the 64 docking complexes for which PS-HomPPI produces interface predictions. An implementation of our method for ranking docked models is freely available at: http://***/DockRank/. Copyright © 2011 ACM.

关键词： Proteins

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Tell me your needs: Assistance for public transport users 11

Tell me your needs: Assistance for public transport users

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Proceedings of the 3rd ACM SIGCHI symposium on engineering interactive computing systems

作者： Ludwig, Bernd Hacker, Martin Schaller, Richard Zenker, Bjoern Ivanov, Alexei V. Riccardi, Giuseppe Department for AI University of Erlangen-Nuremberg Haberstr. 2 D-91058 Erlangen Germany Embedded Systems Institute University of Erlangen-Nuremberg Haberstr. 2 D-91058 Erlangen Germany Department of Information Engineering and Computer Science University of Trento I-38050 Povo di Trento Italy

ISBN: (纸本)9781450307789

Providing navigation assistance to users is a complex task generally consisting of two phases: planning a tour (phase one) and supporting the user during the tour (phase two). In the first phase, users interface to databases via constrained or natural language interaction to acquire prior knowledge such as bus schedules etc. In the second phase, often unexpected external events, such as delays or accidents, happen, user preferences change, or new needs arise. This requires machine intelligence to support users in the navigation realtime task, update information and trip replanning. To provide assistance in phase two, a navigation system must monitor external events, detect anomalies of the current situation compared to the plan built in the first phase, and provide assistance when the plan has become unfeasible. In this paper we present a prototypical mobile speech-controlled navigation system that provides assistance in both phases. The system was designed based on mplications from an analysis of real user assistance needs investigated in a diary study that underlines the vital importance of assistance in phase two. Copyright 2011 ACM.

关键词： Navigation systems

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Human pose estimation in surveillance videos using temporal continuity on static pose

Human pose estimation in surveillance videos using temporal ...

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International Conference on Image Information Processing

作者： Anima Mishra Sharma KS Venkatesh Amitabha Mukerjee Center for AI & Robotics Bangalore India Department of Electrical Engineering Indian Institute of Technology Kanpur India Department of Computer Science & Engineering Indian Institute of Technology Kanpur India

关键词： Estimation Videos Humans Three dimensional displays Accuracy Information processing Manifolds

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Selective block size decision algorithm for intra prediction in video coding and learning website

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2011 International Conference on Electric and Electronics, EEIC 2011

作者： Hsu, Wei-Chun Liu, Yuan-Chen Jiang, Dong-Syuan Tsai, Tsung-Han Lee, Wan-Chun Department of Electrical Engineering National Central Unervisity Zhongda Rd. 300 Zhongli City Taoyuan County 320 Taiwan Department of Computer Science National Taipei Unervisity of Education Heping E. Rd. 134 Da'an Dist. Taipei City 106 Taiwan Taipei Municipal Ren-Ai Elementary School Taiwan

ISBN: (纸本)9783642217647

In this paper, an algorithm of Selective Block Size Decision for Intra Prediction in Video Coding and Learning Website will be presented. The main purpose is to reduce the high complexity of video when predict in intra prediction to select the mode. Video coding decision is divided into two stages: the selective block size and reduce the prediction mode. When selective block size predict by the block smooth, it can divided to three stages. The smooth block use the16x16 intra prediction mode and the complexity use the 4x4 intra prediction mode. When reduce the prediction mode, we use the Elyousfi' algorithm. On experimental results, we decide the variance by 500 and use the smooth block to control the selective block size then we can get the lower complexity. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Image coding

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Search pattern based on multi-direction motion vector prediction algorithm in H.264 and learning website

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2011 International Conference on Electric and Electronics, EEIC 2011

作者： Tsai, Tsung-Han Hsu, Wei-Chun Liu, Yuan-Chen Lee, Wan-Chun Department of Electrical Engineering National Central University Zhongda Rd. 300 Zhongli City Taoyuan County 320 Taiwan Department of Computer Science National Taipei University of Education Heping E. Rd. 134 Da'an Dist. Taipei City 106 Taiwan Taipei Municipal Ren-Ai Elementary School Taiwan

ISBN: (纸本)9783642217647

Motion estimation is the most important part that needs about 80% of computation in the procedure of image compression coding. So there are many fast algorithms for motion vector search proposed to reduce time consumed and keep good qualities. In this paper some traditional algorithms and algorithms using prediction values are investigated, including DS (diamond search), HEXBS (hexagonbased search) and UMHEXagonS. The mechanism of search pattern based on multi-direction motion vector prediction algorithm is proposed to develop a fast algorithm based on motion estimation and combining search patterns and directions. At the moment, we just speed up the encoding time and perform better high PSNR values in the proposed algorithm. But that is very similar with MDS or SPS, and the factors of software and hardware like the selection of algorithms or frame number and the phase of early termination or the difference of hardware are not discussed. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Motion estimation

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Fourier shape-frequency words for actions

Fourier shape-frequency words for actions

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International Conference on Image Information Processing

作者： Bishwajit Sharma KS Venkatesh Amitabha Mukerjee Centre for AI & Robotics DRDO Complex Bangalore India Department of Electrical Engineering Indian Institute of Technology Kanpur India Department of Computer Science Indian Institute of Technology Kanpur India

Actions consist of short shape-motion fragments which recur in a seemingly unique sequence. We propose that these short fragments may constitute a concise vocabulary for actions. Models based on such “words” sometimes use the bag of words paradigm, which ignores sequence information. Also, despite the well-known utility of Fourier and similar features for temporal modelling, Fourier models have not received due attention to model action words until recently. Hence, we employ shape-frequency features as a temporally windowed Fourier transform to capture local motion and shape information. Unsupervised clustering discovers the naturally occurring modes (words) of these features. Each labelled video can thus be represented as a sequence of cluster transitions. Though different actions share common words, we observe that the word sequences are different for different actions, enabling easy discrimination. We evaluate the model on the Weizmann action dataset [1] and achieve 96.7% classification accuracy, and show how it compares to other similar algorithms.

关键词： Shape Hidden Markov models Training Feature extraction Information processing Discrete Fourier transforms Testing

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