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检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

共 1406 条记录，以下是391-400 订阅

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5th international conference on Belief Functions: theory and Applications, BELIEF 2018

5th International Conference on Belief Functions: Theory and...

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5th international conference on Belief Functions: theory and Applications, BELIEF 2018

ISBN: (纸本)9783319993829

the proceedings contain 33 papers. the special focus in this conference is on Belief Functions: theory and Applications. the topics include: Prejudiced information fusion using belief functions;a heuristic approach for the robust flight level assignment problem;study of distributed data fusion using dempster’s rule and cautious operator;uncertainty-aware parzen-rosenblatt classifier for multiattribute data;birnbaum’s importance measure extended for non-coherent systems;evidential independence maximization on twitter network;an evidential k-nearest neighbors combination rule for tree species recognition;a compact belief rule-based classification system with evidential clustering;a decomposable entropy of belief functions in the dempster-shafer theory;the belief functions theory for sensors localization in indoor wireless networks;an evidential K-nearest neighbor classifier based on contextual discounting and likelihood maximization;measuring market performance with stochastic demand: Price of anarchy and price of uncertainty;on the conflict measures agreed with the combining rules;linear belief functions for data analytics;outer approximations of coherent lower probabilities using belief functions;an ordered family of consistency measures of belief functions;Active evidential calibration of binary SVM classifiers;decision making: A beliefs, preferences and constraints model;belief and plausibility functions on the space of scalar products and applications;E2CM: An evolutionary version of evidential C-means clustering algorithm;on evidential clustering with partial supervision;contrasting two laws of large numbers from possibility theory and imprecise probability;Improved performance of EK-NNClus by selecting appropriate parameter;An empirical study to determine the optimal k in Ek-NNclus method;evidential community detection based on density peaks;generalised max entropy classifiers.

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Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 international conference and Workshops, AIAI 2016, thessaloniki, Greece

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2018年

作者： Lazaros S Iliadis Ilias G Maglogiannis

ISBN: (纸本)9783319831688

this book constitutes the refereed proceedings of the 12th IFIP WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in thessaloniki, Greece, in September 2016. the workshops are the third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016. the 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. the 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. the papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling.

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Convolutional Neural Network Models for Scattering pattern recognition of Scanning Electron Microscopy Images

Convolutional Neural Network Models for Scattering Pattern R...

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international conference on Computational Science/Intelligence and Applied Informatics (CSII)

作者： Manop Phankokkruad Sirirat Wacharawichanant Faculty of Information Technology King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Chemical Engineering Faculty of Engineering and Industrial Technology Silpakorn University Nakhon Pathom Thailand

the following topics are dealt with: neural nets; video signal processing; music; smart phones; Internet; learning (artificial intelligence); natural language processing; video retrieval; face recognition; emotion rec... 详细信息

ISBN: (纸本)9781538678763

关键词： Scattering pattern recognition Scanning electron microscopy Morphology Image recognition Neurons Polymers

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Face recognition Based on Local Gabor Binary patterns and Convolutional Neural Network 5th

Face Recognition Based on Local Gabor Binary Patterns and Co...

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5th international conference on Communications, Signal Processing, and Systems (CSPS)

作者： Ren, Xudie Guo, Haonan Di, Chong Han, Zhuoran Li, Shenghong Shanghai Jiao Tong Univ Shanghai 200240 Peoples R China

ISBN: (纸本)9789811032295;9789811032288

Enhancing the robustness to changes caused by facial aging in automatic face recognition system is still an important problem worth researching. Compared with the external factors, such as illumination, posture and expression, facial aging which can produce variations in both shape and texture of the face has more complex effects. In this paper, we propose a method based on Local Gabor Binary patterns and Convolutional Neural Network (LGBP-CNN) to improve the performance of age invariant face recognition problem. For each face image, this method first extracts shape, texture and local neighbor relationship features with multi-orientation and multi-scale Gabor filters as well as local binary patterns (LBP) operators. then, we utilize one kind of Deep Learning model-convolutional neural network which has shown brilliant performance on face recognition area to avoid the dimension curse problem brought by Gabor filtering and further extract features. Such kind of method has robustness to changes of illumination, posture, expression, shape and texture by combining Gabor transform, LBP and convolutional neural network. Experiments are implemented on the FG-NET database and the results can outperform the state of the art ones, which verify the validity of the proposed method in age invariant face recognition problem.

关键词： Face recognition Age invariant Gabor filter Local binary pattern Convolutional neural network

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Analysis of EEG Signal Evoked by Passive Movement and Motor Imagery 5th

Analysis of EEG Signal Evoked by Passive Movement and Motor ...

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5th international conference on Communications, Signal Processing, and Systems (CSPS)

作者： Chen, Zhangliang Liang, Qilian Zhang, Baoju Univ Texas Arlington Dept Elect Engn Arlington TX 76019 USA Tianjin Normal Univ Tianjin 300387 Peoples R China

ISBN: (纸本)9789811032295;9789811032288

In recent years, research based on the Motor Imagery (MI) and physical training of stroke rehabilitation therapy has become a hot topic. Among them, brain - computer interface (BCI)-based electrical stimulation (ES) and MI synchronously induced electroencephalo-graph (EEG) analysis is one of the research directions. this paper integrates MI with ES, and introduces the steady-state somatosensory evoked potential (SSSEP) on the MI, and then fuses features. the purpose is to achieve better accuracy, reducing training time, and enhancing target body imagine attention. We use ES and MI synchronous-evoked EEG analysis for rehabilitation training strategy in the process of synchronization. Based on the time - frequency diagram and brain topographic map, we make analysis on event-related desynchronization (ERD), time -frequency characteristic of the steady-state evoked potentials (SSEP), energy characteristics, and distribution regularity of brain regions of each task model. We apply the short-time Fourier transform (STFT), common spatial pattern (CSP), and filter bank common spatial pattern (FBCSP) to classify task pattern recognition on the basis of support vector machine. the results show that based on the lead less the FBCSP has certain superiority, the classification accuracy of ES versus ES& MI achieved 95% or more.

关键词： Stroke Brain-computer interface Functional electrical stimulation Motor imagery Event-related desynchronization Common spatial pattern Support vector machine

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5th international conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

5th International Conference on Geo-Spatial Knowledge and In...

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5th international conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

ISBN: (纸本)9789811308956

the proceedings contain 142 papers. the special focus in this conference is on Geo-Spatial Knowledge and Intelligence. the topics include: Short-term operation optimization of cascade hydropower reservoirs with linear functional analysis;digging more in neural world: An efficient approach for hyperspectral image classification using convolutional neural network;an intelligent cartographic generalization algorithm selecting mode used in multi-scale spatial data updating process;a cross-national analysis of the correlated network structure of marine transportation in the indian ocean rim association;a software reliability combination model based on genetic optimization bp neural network;Practical experience of the use of RGB camera images in UAV for the generation of 3D images in the accurate detection distance of vegetation risk in right-of-way transmission line;an exploratory study and application of data mining: Railway alarm data;Research on smooth switching technology of UAV complex flight control laws;study on the spatial and temporal pattern of qinghai lake area in the past 50 years;research on the handwriting character recognition technology based on the image statistical characteristics;an algebraic multigrid preconditioner based on aggregation from top to bottom;COKES: Continuous top-k keyword search in relational databases;core competencies keywords discovering algorithm for employment advertisements;a clothing image retrieval system based on improved Itti model;study on a kind of war zone equipment material’s urgency transportation problem for multi-requirement points;a new algorithm for classification based on multi-classifiers learning;an information distance metric preserving projection algorithm;bug patterns detection from android apps;fair electronic voting via bitcoin deposits.

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5th international conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

5th International Conference on Geo-Spatial Knowledge and In...

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5th international conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

ISBN: (纸本)9789811308925

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Facial Expression recognition using Bandlet Transform and Centre Symmetric - Local Binary pattern

Facial Expression Recognition using Bandlet Transform and Ce...

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international conference on Signal Processing and Integrated Networks

作者： Gaurav V. Deshmukh Smriti H. Bhandari Department of Computer science and engineering Walchand College of Engineering Sangli India

Humans interact socially with the help of facial expressions. Even health states or pains are reflected through facial expressions and hence can be useful in healthcare. Here, a facial expression recognition system is proposed. the bandlet transform is performed on face image to generate quadtree. then on the output of bandlet transform centre symmetric - local binary pattern (CS-LBP) is applied. A feature vector of the image is generated by taking the histogram of CS-LBP. the support vector machine (SVM) is used to classify expressions in six categories. the experiments are performed using a publically available CK+ dataset. the initial results with LBP and CS-LBP are reported.

关键词： Facial Expression recognition Bandlet Transform LBP CS-LBP SVM

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Automatic text summarization based on betweenness centrality 18

Automatic text summarization based on betweenness centrality

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5th Spanish conference on Information Retrieval, CERI 2018

作者： De La Peña Sarracén, Gretel Liz Rosso, Paolo Center for Pattern Recognition and Data Mining Cuba PRHLT Universitat Politècnica de València Spain

ISBN: (纸本)9781450365437

Automatic text summary plays an important role in information retrieval. With a large volume of information, presenting the user only a summary greatly facilitates the search work of the most relevant. therefore, this task can provide a solution to the problem of information overload. Automatic text summary is a process of automatically creating a compressed version of a certain text that provides useful information for users. this article presents an unsupervised extractive approach based on graphs. the method constructs an indirected weighted graph from the original text by adding a vertex for each sentence, and calculates a weighted edge between each pair of sentences that is based on a similarity/dissimilarity criterion. the main contribution of the work is that we do a study of the impact of a known algorithm for the social network analysis, which allows to analyze large graphs efficiently. As a measure to select the most relevant sentences, we use betweenness centrality. the method was evaluated in an open reference data set of DUC2002 with Rouge scores. 2018 Association for Computing Machinery.

关键词： Text processing

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An Interactive Strategy to Visualize Common Subgraphs in Protein-Ligand Interaction 6th

An Interactive Strategy to Visualize Common Subgraphs in Pro...

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6th international Work-conference on bioinformatics and Biomedical Engineering (IWBBIO)

作者： Fassio, Alexandre V. Santana, Charles A. Cerqueira, Fabio R. da Silveira, Carlos H. Romanelli, Joao P. R. de Melo-Minardi, Raquel C. Silveira, Sabrina de A. Univ Fed Minas Gerais BR-31270901 Belo Horizonte MG Brazil Univ Fed Vicosa BR-36570900 Vicosa MG Brazil Univ Fed Itajuba BR-35903087 Itabira MG Brazil

ISBN: (纸本)9783319787220;9783319787237

Interactions between proteins and ligands play an important role in biological processes of living systems. For this reason, the development of computational methods to facilitate the understanding of the ligand-receptor recognition process is fundamental, since this comprehension is a major step towards ligand prediction, target identification, lead discovery, among others. this article presents a visual interactive interface to explore protein-ligand interactions and their conserved substructures for a set of similar proteins. the protein-ligand interface is modeled as bipartite graphs, where nodes represents protein and ligand atoms, and edges depicts interactions between them. Such graphs are the input to search for frequent subgraphs that are the conserved interaction patterns over the datasets. To illustrate the potential of our strategy, we used two test datasets, Ricin and human CDK2. Availability: http:// ***/similar to alexandrefassio/gremlin/.

关键词： Visualization pattern Protein Ligand Graph Data mining

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