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检索条件"任意字段=5th International Workshop on Graph-Based Representations in Pattern Recognition"

共 194 条记录，以下是111-120 订阅

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9th Mining Humanistic Data workshop, MHDW 2020, and the 5th workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020, held as parallel events of the 16th IFIP WG 12.5 international Conference on Artificial Intelligence Applications and Innovations, AIAI 2020

9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th ...

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9th Mining Humanistic Data workshop, MHDW 2020, and the 5th workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020, held as parallel events of the 16th IFIP WG 12.5 international Conference on Artificial Intelligence Applications and Innovations, AIAI 2020

ISBN: (纸本)9783030491895

the proceedings contain 21 papers. the special focus in this conference is on Mining Humanistic Data. the topics include: threat Landscape of Next Generation IoT-Enabled Smart Grids;towards a Smart Port: the Role of the Telecom Industry;a graph-based Extension for the Set-based Model Implementing Algorithms based on Important Nodes;a Sentiment-based Hotel Review Summarization Using Machine Learning Techniques;an Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement;fake News Detection Regarding the Hong Kong Events from Tweets;improving Movie Recommendation Systems Filtering by Exploiting User-based Reviews and Movie Synopses;the Converging Triangle of Cultural Content, Cognitive Science, and Behavioral Economics;application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window;A New Approach to 5G and MEC Integration;fingerprints recognition System-based on Mobile Device Identification Using Circular String pattern Matching Techniques;mining and Analysis of Air Quality Data to Aid Climate Change;business Aspects of the Neutral Host Model: the Immersive Video Services Case;combined 5G-based Video Production and Distribution in a Crowded Stadium Event;dynamic Network Slicing: Challenges and Opportunities;dynamic Resource Allocation and Computation Offloading for Edge Computing System;Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures;on the Prediction of Future User Connections based on Historical Records in Wireless Networks;Programmable Edge-to-Cloud Virtualization for 5G Media Industry: the 5G-MEDIA Approach.

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Fingerprints recognition System-based on Mobile Device Identification Using Circular String pattern Matching Techniques 9th

Fingerprints Recognition System-Based on Mobile Device Ident...

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16th IFIP WG 12.5 international Conference on Artificial Intelligence Applications and Innovations (AIAI) / 9th Mining Humanistic Data workshop (MHDW) / 5th workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE)

作者： Alshammary, Miznah H. Iliopoulos, Costas S. Khan, Mujibur R. Kings Coll London Dept Informat London England

ISBN: (纸本)9783030491925;9783030491901;9783030491895

As fingerprint recognition systems have become increasingly adopted within a range of technology applications over the last decade, so too has their attention within emerging research. However, although this increased attention has led to an enhancement of the software and algorithms behind this recognition process, the majority of research has still not addressed the issues of incorrect rotation or proximity between the finger and the device. Current systems assume that the direction of the imprinted finger will align with that of the target fingerprint image;this decreases the accuracy of fingerprint recognition across a variety of finger orientations and scenarios. In response to this use-case dilemma, this paper proposes a new technique of pattern matching that can account for this natural range of fingerprint orientations. this is achieved first through a preliminary stage of orientation identification, whereby the fingerprint image can be stored under multiple permutations by using approximate circular string-matching algorithms. this enables the database of images for each approximate permutation of orientation to be stored in advance. It can then be matched against the strong information of the fingerprint at its exact relative rotation of input. the improved accuracy of recognition demonstrated through the results of this study may enable the functionality of fingerprint recognition to adapt to challenging device form-factors and provide the accuracy needed for military and medical applications.

关键词： Mobile device fingerprinting Fingerprint recognition Rotation Circular string matching

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Active perception system for recognition of 3D objects in image sequences

Active perception system for recognition of 3D objects in im...

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Proceedings of the 1998 5th international workshop on Advanced Motion Control, AMC

作者： Okamoto Jr., Jun Milanova, Mariofanna Escola Politecnica da Universidade de Sao Paulo Sao Paulo Brazil

the authors describe an active 3D object recognition system that can learn complex 3D objects completely unsupervised and that can recognize previously learnt objects from different views. First a decision of which is the best next view is taken. the system- developed for this task is an iterative active perception system that executes the acquisition of several views of the object, builds a stochastic 3D model of the object and decides is the best next view to be acquired, based on an entropy measure. In this paper, we are focusing on a module for the recognition of objects in image sequences. We evaluate the optical flow in the sequence and extract a set of invariant features. As a pattern recognizer we suggest the Cellular Neural Network (CNN) architecture and generate an associative memory. the CNN paradigm is considered as a unifying model for spatio-temporal properties of the visual system.

关键词： pattern recognition systems

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A Novel 2D Contour Description Generalized Curvature Scale Space 6th

A Novel 2D Contour Description Generalized Curvature Scale S...

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6th international workshop on representations, Analysis and recognition of Shape and Motion from Imaging Data (RFMI)

作者： Benkhlifa, Ameni Ghorbel, Faouzi Univ Manouba Natl Sch Comp Sci Grift Grp Cristal Lab Manouba 2010 Tunisia

ISBN: (纸本)9783319606545;9783319606538

Here, we intend to propose a 2D contour descriptor that we call Generalized Curvature Scale Space (GCSS) based on the iso-curvature levels, and the curvature scale space (CSS) descriptor. We start by computing the curvature in different scales and extract the points which have the same curvature values as the maximums in each scale. Each CSS image is represented by a set of key points. the Dynamic Time Warping (DTW) similarity measure is used. We reach a significant rate in image recognition using two data sets (HMM GPD and MPEG7 CE Shape-1 Part-B set).

关键词： pattern recognition Contour 2D Curvature Iso-curvature CSS

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36th international Conference on Conceptual Modeling, ER 2017 held in Conjuction with the 3rd international workshop on Modeling for Ambient Assistance and Healthy Ageing, AHA 2017, 6th international workshop on Modeling and Management of Big Data, MoBiD 2017, 4th international workshop on Conceptual Modeling in Requirements and Business Analysis, MREBA 2017, 5th international workshop on Ontologies and Conceptual Modeling, OntoCom 2017 and 4th workshop on Quality of Models and Models of Quality, QMMQ 2017

36th International Conference on Conceptual Modeling, ER 201...

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36th international Conference on Conceptual Modeling, ER 2017 held in Conjuction with the 3rd international workshop on Modeling for Ambient Assistance and Healthy Ageing, AHA 2017, 6th international workshop on Modeling and Management of Big Data, MoBiD 2017, 4th international workshop on Conceptual Modeling in Requirements and Business Analysis, MREBA 2017, 5th international workshop on Ontologies and Conceptual Modeling, OntoCom 2017 and 4th workshop on Quality of Models and Models of Quality, QMMQ 2017

ISBN: (纸本)9783319706245

the proceedings contain 22 papers. the special focus in this conference is on Conceptual Modeling. the topics include: Towards an ontology for strategic decision making: the Case of quality in rapid software development projects;detecting bad smells of refinement in goal-oriented requirements analysis;Requirements engineering for data warehouses (RE4DW): From strategic goals to multidimensional model;towards formal strategy analysis with goal models and semantic web technologies;assisting process modeling by identifying business process elements in natural language texts;Using multidimensional concepts for detecting problematic Sub-KPIs in analysis systems;automatically annotating business process models with ontology concepts at design-time;OPL-ML: A modeling language for representing ontology pattern languages;Evaluating quality issues in BPMN models by extending a technical debt software platform;data modelling for dynamic monitoring of vital signs: Challenges and perspectives;utility-driven data management for data-intensive applications in fog environments;Assessing the positional planimetric accuracy of DBpedia georeferenced resources;Assessing the completeness evolution of DBpedia: A case study;towards care systems using model-driven adaptation and monitoring of autonomous multi-clouds;clustering event traces by behavioral similarity;goal-based selection of visual representations for big data analytics;A four V’s design approach of NoSQL graph databases;towards efficient and informative omni-channel customer relationship management;stream clustering of chat messages with applications to twitch streams;towards consistent demarcation of enterprise design domains.

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Text classification by combining grouping, LSA and kNN

Text classification by combining grouping, LSA and kNN

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5th IEEE/ACIS international Conference on Computer and Information Science, ICIS 2006. In conjunction with 1st IEEE/ACIS international workshop on Component-based Software Engineering, Software Architecture and Reuse, COMSAR 2006

作者： Ishii, Naohiro Murai, Tsuyoshi Yamada, Takahiro Bao, Yongguang Aichi Institute of Technology

ISBN: (纸本)0769526136

A grouping method of the similar words, is proposed for the classification of documents, which is applied to Reuters international news and it is shown that the grouping of words has equivalent ability to the Latent Semantic Analysis(LSA) in the classification accuracy. Further, a new combining method is proposed for the documents classification, which consists of Grouping, Latent Semantic Analysis followed by the k-Nearest Neighbor classification (k-NN), the combining method proposed here, shows the higher accuracy in the classification than the conventional methods of the kNN, and the LSA followed by the kNN. © 2006 IEEE.

关键词： pattern recognition

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Fractal features in image recognition

Fractal features in image recognition

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5th Int. workshop on Digital Image Processing and Computer graphics (DIP-94)

作者： Polikarpova, N. Scientific Council Cybernetics Moscow Russia

the paper is devoted to image features based on fractal dimension of a set. the algorithm for calculation of grid empirical fractal dimension (GEFD) of a gray-level image is introduced. the properties of GEFD are inve... 详细信息

ISBN: (纸本)0819417076

关键词： pattern recognition

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A New Approach for Industrial Diagnosis by Neuro-Fuzzy systems: Application to Manufacturing System

A New Approach for Industrial Diagnosis by Neuro-Fuzzy syste...

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5th international Conference on Integrated Modeling and Analysis in Applied Control and Automation (IMAACA 2011)

作者： Mandaoui, Rafik Mouss, Hayet Mouss, Djamal Univ Batna Lab Automat & Prod 1 Rue Chahid Boukhlouf Batna 05000 Algeria

ISBN: (纸本)9788890372476

In this study we propose a strategy for the follow-up of the process behavior and detection of failures. An approach of industrial diagnosis based on the statistical pattern recognition Neuro-Fuzzy being based on a digital representation and symbolic system of the forms is implemented. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. this software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. the system selected is the workshop of SCIMAT clinker, cement factory in Algeria.

关键词： Diagnosis artificial neuronal networks fuzzy logic Neuro-fuzzy systems pattern recognition FMEAC

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4th international workshop on Energy Minimization Methods in Computer Vision and pattern recognition, EMMCVPR 2003

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4th international workshop on Energy Minimization Methods in Computer Vision and pattern recognition, EMMCVPR 2003

ISBN: (纸本)3540404988

the proceedings contain 39 papers. the special focus in this conference is on Unsupervised Learning, Matching, Probabilistic Modelling, Segmentation, Grouping, Shape Modelling and Reconstruction. the topics include: Stochastic search for optimal linear representations of images on spaces with orthogonality constraints;curve matching using the fast marching method;EM algorithm for clustering an ensemble of graphs with comb matching;information force clustering using directed trees;active sampling strategies for multihypothesis testing;likelihood based hierarchical clustering and network topology identification;learning mixtures of tree-unions by minimizing description length;hierarchical annealing for random image synthesis;semi-supervised image segmentation by parametric distributional clustering;path variation and image segmentation;a fast snake segmentation method applied to histopathological sections;a compositionality architecture for perceptual feature grouping;using prior shape and points in medical image segmentation;separating a texture from an arbitrary background using pair wise grey level cooccurrences;surface recovery from 3D point data using a combined parametric and geometric flow approach;curvature vector flow to assure convergent deformable models for shape modelling;a MAP estimation algorithm using IIR recursive filters;estimation of rank deficient matrices from partial observations;contextual and non-combinatorial approach to feature extraction;generalized multi-camera scene reconstruction using graph cuts and graph matching using spectral seriation.

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Self-organizing maps for time series

Self-organizing maps for time series

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5th workshop on Self-Organizing Maps, WSOM 2005

作者： Hammer, Barbara Micheli, Alessio Neubauer, Nicolas Sperduti, Alessandro Strickert, Marc Clausthal University of Technology Computer Science Institute Clausthal-Zellerfeld Germany Università di Pisa Dipartimento di Informatica Pisa Italy University of Osnabrück Institute of Cognitive Science Osnabrück Germany Università di Padova Dipartimento di Matematica Pura ed Applicata Padova Italy Institute of Plant Genetics and Crop Plant Research Gatersleben Pattern Recognition Group Gatersleben Germany

We review a recent extension of the self-organizing map (SOM) for temporal structures with a simple recurrent dynamics leading to sparse representations, which allows an efficient training and a combination with arbitrary lattice structures. We discuss its practical applicability and its theoretical properties. Afterwards, we put the approach into a general framework of recurrent unsupervised models. this generic formulation also covers a variety of well-known alternative approaches including the temporal Kohonen map, the recursive SOM, and SOM for structured data. based on this formulation, mathematical properties of the models are investigated. Interestingly, the dynamic can be generalized from sequences to more general tree structures thus opening the way to unsupervised processing of general data structures.

关键词： Self organizing maps

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