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共 237 条记录，以下是131-140 订阅

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6th international conference on Advances in Swarm and Computational Intelligence, ICSI 2015

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6th international conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

ISBN: (纸本)9783319204710

the proceedings contain 52 papers. the special focus in this conference is on Neural Networks, Fuzzy methods and Data Mining Approaches. the topics include: Apply stacked auto-encoder to spam detection;interval-valued intuitionistic fuzzy prioritized ordered weighted averaging operator and its application in threat assessment;optimizing production and distribution problem for agricultural products with type-2 fuzzy variables;a new evolutionary fuzzy instance-based learning approach;temporal pattern of human post and interaction behavior in qzone;an empirical analysis on temporal pattern of credit card trade;discovering traffic outlier causal relationship based on anomalous dag;text classification based on paragraph distributed representation and extreme learning machine;network comments data mining-based analysis method of consumer's perceived value;fruit fly optimization algorithm based SVM classifier for efficient detection of Parkinson's disease;improving OCR-degraded Arabic text retrieval through an enhanced orthographic query expansion model;framework to secure data access in cloud environment;mutual authentication protocol based on smart card and combined secret key encryption;negative survey-based privacy protection of cloud data;security challenges and mitigations of NFC-enabled attendance system;achievement of a myoelectric clamp provided by an optical shifting control for upper limb amputations;tools for monitoring and parameter visualization in computer control systems of industrial robots;using discrete PSO algorithm to evolve multi-player games on spatial structure environment;a new physarum-based hybrid optimization algorithm for solving 0/1 knapsack problem and a discrete ecogeography-based optimization algorithm for university course timetabling.

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6th international conference on Social Informatics, SocInfo 2014

6th International Conference on Social Informatics, SocInfo ...

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6th international conference on Social Informatics, SocInfo 2014

ISBN: (纸本)9783319151670

the proceedings contain 65 papers. the special focus in this conference is on Criminal Network Analysis, Interaction and Exchange in Social Media, Exploration on Games, Computational History and Agent-Based models. the topics include: Visual analysis of urban flows in geolocated social media data;a literature-based approach to a narco-network;the spatial structure of crime in urban environments;emergence of extreme opinions in social networks;triad-based role discovery for large social systems;a tool-based methodology to analyze social network interactions in cultural fields;detecting presence of personal events in twitter streams;digital addiction ontology for social networking systems;initial exploration of the use of specific tangible widgets for tablet games;developing game-structure sensitive matchmaking system for massive-multiplayer online games;informal in-game help practices in massive multiplayer online games;social network analysis of high-level players in multiplayer online battle arena game;linking historical ship records to a newspaper archive;mapping memory landscapes in nodegoat;developing onomastic gazetteers and prosopographies for the ancient world through named entity recognition and graph visualization;reconstructing topological properties of complex networks using the fitness model;collective intelligence-based sequential pattern mining approach for marketing data;threshold of herd effect for online events in china;identifying bridges for information spread control in social networks;comparing human and algorithm performance on estimating word-based semantic similarity and a crowdsourced serious game for simulating human perception.

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Nonlinear graph fusion for multi-modal classification of Alzheimer’s disease 1

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6th international Workshop on Machine Learning in Medical Imaging, MLMI 2015 and Held in Conjunction with 18th international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2015

作者： Tong, Tong Gray, Katherine Gao, Qinquan Chen, Liang Rueckert, Daniel Department of Computing Imperial College London London United Kingdom Fujian Province Key Lab of MIPT Fuzhou University Fuzhou China

ISBN: (数字)9783319248882

ISBN: (纸本)9783319248875

Recent studies have demonstrated that biomarkers from multiple modalities contain complementary information for the diagnosis of Alzheimer’s disease (AD) and its prodromal stage mild cognitive impairment (MCI). In order to fuse data from multiple modalities, most previous approaches calculate a mixed kernel or a similarity matrix by linearly combining kernels or similarities from multiple modalities. However, the complementary information from multi-modal data are not necessarily linearly related. In addition, this linear combination is also sensitive to the weights assigned to each modality. In this paper, we propose a nonlinear graph fusion method to efficiently exploit the complementarity in the multi-modal data for the classification of AD. Specifically, a graph is first constructed for each modality individually. Afterwards, a single unified graph is obtained via a nonlinear combination of the graphs in an iterative cross diffusion process. Using the unified graphs, we achieved classification accuracies of 91.8% between AD subjects and normal controls (NC), 79.5% between MCI subjects and NC and 60.2% in a three-way classification, which are competitive with state-of-the-art results. © Springer international Publishing Switzerland 2015.

关键词： Iterative methods

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Duality principle for image regularization and perceptual color correction models 5

Duality principle for image regularization and perceptual co...

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5th international conference on Scale Space and Variational methods in Computer Vision, SSVM 2015

作者： Batard, thomas Bertalmío, Marcelo Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain

ISBN: (纸本)9783319184609

In this paper, we show that the anisotropic nonlocal total variation involved in the image regularization model of Gilboa and Osher [15] as well as in the perceptual color correction model of Bertalmío et al. [4] possesses a dual formulation. We then obtain novel formulations of their solutions, which provide new insights on these models. In particular, we show that the model of Bertalmío et al. can be split into two steps: first, it performs global color constancy, then local contrast enhancement. We also extend these two channel-wise variational models in a vectorial way by extending the anisotropic nonlocal total variation to vector-valued functions. © Springer international Publishing Switzerland 2015.

关键词： Color

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Machine learning on high dimensional shape data from subcortical brain surfaces: A comparison of feature selection and classification methods 1

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作者： Wade, Benjamin S. C. Joshi, Shantanu H. Gutman, Boris A. thompson, Paul M. Imaging Genetics Center USC Marina del ReyCA United States Ahmanson-Lovelace Brain Mapping Center UCLA Los AngelesCA United States

ISBN: (数字)9783319248882

ISBN: (纸本)9783319248875

Recently, high-dimensional shape data (HDSD) has been demonstrated to be informative in describing subcortical brain morphometry in several disorders. While HDSD may serve as a biomarker of disease, its high dimensionality may require careful treatment in its application to machine learning. Here, we compare several possible approaches for feature selection and pattern classification using HDSD. We explore the efficacy of three candidate feature selection (FS) methods: Guided Random Forest (GRF), LASSO and no feature selection (NFS). Each feature set was applied to three classifiers: Random Forest (RF), Support Vector Machines (SVM) and Naïve Bayes (NB). Each model was cross-validated using two diagnostic contrasts: Alzheimer’s Disease and mild cognitive impairment;each relative to matched controls. GRF and NFS outperformed LASSO as FS methods and were comparably competitive. NB underperformed relative to RF and SVM, which were comparable in performance. Our results advocate the NFS-RF approach for its speed, simplicity and interpretability. © Springer international Publishing Switzerland 2015.

关键词： Feature Selection

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Relational and semantic data mining: — Invited Talk — 13th

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13th international conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2015

作者： Lavrač, Nada Vavpetič, Anže Jožef Stefan Institute Jamova 39 Ljubljana1000 Slovenia Jožef Stefan International Postgraduate School Jamova 39 Ljubljana1000 Slovenia University of Nova Gorica Nova Gorica Slovenia

ISBN: (纸本)9783319232638

Inductive Logic Programming (ILP) and Relational Data Mining (RDM) address the task of inducing models or patterns from multi-relational data. One of the established approaches to RDM is propositionalization, characterized by transforming a relational database into a single-table representation. After introducing ILP and RDM, the paper provides an overview of propositionalization algorithms, which have been made publicly available through the web-based Clowd- Flows data mining platform. the paper concludes by presenting recent advances in Semantic Data Mining, characterized by exploiting relational background knowledge in the form of domain ontologies in the process of model and pattern construction. © Springer international Publishing Switzerland 2015.

关键词： Data mining

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Configuration of hydro power plant mathematical models 4th

Configuration of hydro power plant mathematical models

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4th D-A-CH conference on Energy Informatics, EI 2015

作者： Barry, Michael Schillinger, Moritz Weigt, Hannes Schumann, René Smart Infrastructure Laboratory HES-SO Valais/Wallis Rue de Technopôle 3 Sierre3960 Switzerland Forschungsstelle Nachhaltige Energie- und Wasserversorgung University Basel Peter Merian-Weg 6 Basel4002 Switzerland

ISBN: (纸本)9783319258751

the ongoing energy transition towards large shares of renewable generation poses challenges for hydro power producers. We revisit the problem of optimising the operation of hydro power plants using mathematical modelling, but utilising computer science concepts in the design of the models and configuration of these models. We use a modular design allowing us to activate features, such as what markets or which technical aspects to consider, by activating or deactivating a specific module. In this paper we give an example of how our method can be used to configure which markets a model should operate on. Furthermore, we use a configuration process based on the SPEA2 evolutionary algorithm to explore the relationship between the scale of the model and the time required to solve it. Such methods assist in identifying configurations that are the best fit in terms of runtime, realism and accuracy. © Springer international Publishing Switzerland 2015.

关键词： Hydroelectric power

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Detection of abrupt changes in spatial relationships in video sequences 4th

Detection of abrupt changes in spatial relationships in vide...

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4th international conference on Pattern Recognition Applications and methods, ICPRAM 2015

作者： Abou-Elailah, Abdalbassir Gouet-Brunet, Valerie Bloch, Isabelle LTCI CNRS Télécom ParisTech Université Paris-Saclay Paris France Université Paris-Est IGN SRIG MATIS 73 avenue de Paris Saint Mandé94160 France

ISBN: (纸本)9783319276762

Detecting unusual events in video sequences is very challenging due to cluttered background, the difficulties of accurate extraction and tracking of moving objects, illumination change, etc. In this work, we focus on detecting strong changes in spatial relationships between moving objects in video sequences, with a limited knowledge of the objects. In this approach, the spatial relationships between two objects of interest are modeled using angle and distance histograms as examples. To evaluate the evolution of the spatial relationships during time, the distances between two angle or distance histograms at two different instants in time are estimated. In addition, a combination approach is proposed to combine the evolution of directional (angle) and metric (distance) relationships. Studying the evolution of the spatial relationships during time allows us to detect the ruptures in such spatial relationships. this study can constitute a promising step toward event detection in video sequences, with few a priori models on the objects. © Springer international Publishing Switzerland 2015.

关键词： Graphic methods

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Towards verification of multicore motor-drive controllers in aerospace

Towards verification of multicore motor-drive controllers in...

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international conference on Computer Safety, Reliability, and Securitym, SAFECOMP 2015 and held 3rd international Workshop on Assurance Cases for Software-Intensive Systems ASSURE 2015, Workshop on Dependable Embedded and Cyber-Physical Systems and Systems-of-Systems, DECSoS 2015, 2nd international Workshop on the Integration of Safety and Security Engineering, ISSE 2015, Workshop on Reliability and Security Aspects for Critical Infrastructure Protection, ReSA4CI 2015, and 4th internationalWorkshop on NextGeneration of System Assurance Approaches for Safety-Critical Systems SASSUR, 2015

作者： Basagiannis, Stylianos Gonzalez-Espin, Francisco United Technologies Research Centre 4th Floor Penrose Wharf Cork Ireland

ISBN: (纸本)9783319242484

It is a known fact that development of models on the design stage of a product, constitutes a highly important stage proving early evidence of error absence for the proposed artifact. Meanwhile, advances in the embedded systems domain push for rapid architecture product changes based on current state-of-the-art solutions. Multicore systems have exhibit enormous benefits due to parallelization of task execution, increasing availability of resources in multiple domains such as the automotive and telecommunication. Such a premise creates the need to invest into new verification methodologies that will re-assure the safe and efficient transition of new solutions like multicores, especially in the demanding aerospace world. In this paper we describe current challenges and trends on the development of safe and efficient methods for power controllers’ verification in multicore-based hardware platforms, such as motor-drive applications. We outline current industrial practices and describe common toolsets, workflows and techniques used in the aerospace domain. then our discussion focus on formal verification techniques that could provide efficient solutions for verifying power control algorithms in aerospace applications. We conclude with remarks about an ongoing verification effort for power control of a multicore-based motor drive towards producing certification evidence. © Springer international Publishing Switzerland 2015.

关键词： Power control

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Prediction models for Estimation of Survival Rate and Relapse for Breast Cancer Patients

Prediction Models for Estimation of Survival Rate and Relaps...

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IEEE international conference on bioinformatics and Bioengineering

作者： Bojana R. Andjelkovic Cirkovic Aleksandar M. Cvetkovic Srdjan M. Ninkovic Nenad D. Filipovic Faculty of Engineering University of Kragujevac Clinical Center of Kragujevac Faculty of Medical Sciences University of Kragujevac Clinical Center of Kragujevac

ISBN: (纸本)9781467379847

In this paper, we described the practical application of data mining methods for estimation of survival rate and disease relapse for breast cancer patients. A comparative study of prominent machine learning models was carried out and according to the achieved results we concluded that the classifiers obviously learn some of the concepts of breast cancer survivability and recurrence. these algorithms were successfully applied to a novel breast cancer data set of the Clinical Center of Kragujevac. the Naive Bayes classifier is selected as a model for prognosis of cancer survivability on the basis of the 5 years survival rate, while the Artificial Neural Network has achieved the best performance in prognosis of cancer recurrence. Selection of twenty attributes that are the most related to success of prognosis on survivability can give new insights into the set of prognostic factors which need to be observed by medical experts.

关键词： Classification algorithms Breast cancer Prognostics and health management Artificial neural networks Diseases Data mining

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