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检索条件"任意字段=13th Computer Conference on Local Computer Networks, Proceedings"

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24th International conference on MultiMedia Modeling, MMM 2018

24th International Conference on MultiMedia Modeling, MMM 20...

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24th International conference on MultiMedia Modeling, MMM 2018

ISBN: (纸本)9783319735993

the proceedings contain 100 papers. the special focus in this conference is on MultiMedia Modeling. the topics include: Efficient two-layer model towards cover song identification;food photo recognition for dietary tracking: System and experiment;fusion networks for air-writing recognition;global and local c3d ensemble system for first person interactive action recognition;implicit affective video tagging using pupillary response;κ-labelsets for multimedia classification with global and local label correlation;Lvfs: A lightweight video storage file system for IP camera-based surveillance applications;Person re-id by incorporating PCA loss in CNN;robust and real-time visual tracking based on complementary learners;a novel frontal facial synthesis algorithm based on individual residual face;room floor plan generation on a project tango device;scalable bag of selected deep features for visual instance retrieval;seqsense: Video recommendation using topic sequence mining;shapecreator: 3d shape generation from isomorphic datasets based on autoencoder;source distortion estimation for wyner-ziv distributed video coding;srn: the movie character relationship analysis via social network;the long tail of web video;vehicle semantics extraction and retrieval for long-term carpark video surveillance;venue prediction for social images by exploiting rich temporal patterns in lbsns;a virtual reality interface for interactions with spatiotemporal 3d data;a text recognition and retrieval system for e-business image management;actionvis: An explorative tool to visualize surgical actions in gynecologic laparoscopy;ar deepcaloriecam: an ios app for food calorie estimation with augmented reality;auto accessory segmentation and interactive try-on system;automatic smoke classification in endoscopic video;competitive video retrieval with vitrivr.

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19th International conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018

19th International Conference on Advanced Concepts for Intel...

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19th International conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018

ISBN: (纸本)9783030014483

the proceedings contain 52 papers. the special focus in this conference is on Advanced Concepts for Intelligent Vision Systems. the topics include: Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment;comparison of Co-segmentation Methods for Wildlife Photo-identification;an Efficient Agglomerative Algorithm Cooperating with Louvain Method for Implementing Image Segmentation;robust Feature Descriptors for Object Segmentation Using Active Shape Models;foreground Background Segmentation in Front of Changing Footage on a Video Screen;Multi-organ Segmentation of Chest CT Images in Radiation Oncology: Comparison of Standard and Dilated UNet;Diffuse Low Grade Glioma NMR Assessment for Better Intra-operative Targeting Using Fuzzy Logic;identification of Saimaa Ringed Seal Individuals Using Transfer Learning;enhanced Codebook Model and Fusion for Object Detection with Multispectral Images;Matrix Descriptor of Changes (MDC): Activity Recognition Based on Skeleton;Unsupervised Perception Model for UAVs Landing Target Detection and Recognition;parallel and Distributed local Fisher Discriminant Analysis to Reduce Hyperspectral Images on Cloud Computing Architectures;bayesian Vehicle Detection Using Optical Remote Sensing Images;Integrating UAV in IoT for RoI Classification in Remote Images;Enhanced Line local Binary Patterns (EL-LBP): An Efficient Image Representation for Face Recognition;Single Sample Face Recognition by Sparse Recovery of Deep-Learned LDA Features;recursive Chaining of Reversible Image-to-Image Translators for Face Aging;automatically Selecting the Best Pictures for an Individualized Child Photo Album;face Detection in Painting Using Deep Convolutional Neural networks;robust Geodesic Skeleton Estimation from Body Single Depth;person Re-Identification with a Body Orientation-Specific Convolutional Neural Network;person Re-identification Using Group Context.

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Smart museum information services to assist preservation, transmission and research in cultural and historical heritage domain 13

Smart museum information services to assist preservation, tr...

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13th Joint International Baltic conference on Databases and Information Systems Forum and Doctoral Consortium, Baltic-DB and IS Forum-DC 2018

作者： Korzun, Dmitry Yalovitsyna, Svetlana Volokhova, Valentina Department of Computer Science Petrozavodsk State University Petrozavodsk Russia Institute of Linguistics Literature and History Karelian Research Centre of Russian Academy of Science Petrozavodsk Russia Department of Russian History Petrozavodsk State University Petrozavodsk Russia

Museums are now digitally enhanced based on smart information services that assist visitors and personnel. Cultural and historical heritage (CHH) is perceived in a personalized and cognitive way and new knowledge is created by the users. In this paper, we overview the smart museum concept. We consider services for effective CHH preservation and transmission within a smart museum. the services are extended to assist in research by discovering information for applying human expertise and reasoning knowledge. We introduce information representation models as a semantic network where data mining is reduced to ranking in the semantic network. As a case study we discuss the services for the History Museum of Petrozavodsk State University. Copyright © 2018 for this paper by the papers' authors.

关键词： Data mining

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8th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2017, Held in Conjunction with MICCAI 2017

8th International Workshop on Statistical Atlases and Comput...

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8th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2017, Held in Conjunction with MICCAI 2017

ISBN: (纸本)9783319755403

the proceedings contain 27 papers. the special focus in this conference is on . the topics include: Automatic segmentation and disease classification using cardiac cine MR images;An exploration of 2D and 3D deep learning techniques for cardiac MR image segmentation;Automatic cardiac disease assessment on cine-MRI via time-series segmentation and domain specific features;2D-3D fully convolutional neural networks for cardiac MR segmentation;Densely connected fully convolutional network for short-axis cardiac cine MR image segmentation and heart diagnosis using random forest;class-balanced deep neural network for automatic ventricular structure segmentation;Automatic segmentation of LV and RV in cardiac MRI;Automatic multi-atlas segmentation of myocardium with SVF-Net;3D convolutional networks for fully automatic fine-grained whole heart partition;Joint myocardial registration and segmentation of cardiac BOLD MRI;Multi-label whole heart segmentation using CNNs and anatomical label configurations;Multi-planar deep segmentation networks for cardiac substructures from MRI and CT;local probabilistic atlases and a posteriori correction for the segmentation of heart images;hybrid loss guided convolutional networks for whole heart parsing;3D deeply-supervised U-net based whole heart segmentation;MRI whole heart segmentation using discrete nonlinear registration and fast non-local fusion;automatic whole heart segmentation using deep learning and shape context;Automatic whole heart segmentation in CT images based on multi-atlas image registration;Transfer learning for the fully automatic segmentation of left ventricle myocardium in porcine cardiac cine MR images;left atrial appendage neck modeling for closure surgery;Detection of substances in the left atrial appendage by spatiotemporal motion analysis based on 4D-CT.

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38th Annual International Cryptology conference, CRYPTO 2018

38th Annual International Cryptology Conference, CRYPTO 2018

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38th Annual International Cryptology conference, CRYPTO 2018

ISBN: (纸本)9783319968803

the proceedings contain 79 papers. the special focus in this conference is on Cryptology. the topics include: Generic attacks against beyond-birthday-bound MACs;structured encryption and leakage suppression;searchable encryption with optimal locality: Achieving sublogarithmic read efficiency;tight tradeoffs in searchable symmetric encryption;hardness of non-interactive differential privacy from one-way functions;risky traitor tracing and new differential privacy negative results;non-malleable secret sharing for general access structures;on the local leakage resilience of linear secret sharing schemes;threshold cryptosystems from threshold fully homomorphic encryption;optimal channel security against fine-grained state compromise: the safety of messaging;multi-input functional encryption for inner products: Function-hiding realizations and constructions without pairings;Encrypt or decrypt? to make a single-key beyond birthday secure nonce-based MAC;Rasta: A cipher with low ANDdepth and few ANDs per bit;non-uniform bounds in the random-permutation, ideal-cipher, and generic-group models;provable security of (tweakable) block ciphers based on substitution-permutation networks;verifiable delay functions;proofs of work from worst-case assumptions;out-of-band authentication in group messaging: Computational, statistical, optimal;Faster homomorphic linear transformations in HElib;CAPA: the spirit of beaver against physical attacks;fast message franking: From invisible salamanders to encryptment;indifferentiable authenticated encryption;the curse of small domains: New attacks on format-preserving encryption;cryptanalysis via algebraic Spans.

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38th Annual International Cryptology conference, CRYPTO 2018

38th Annual International Cryptology Conference, CRYPTO 2018

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38th Annual International Cryptology conference, CRYPTO 2018

ISBN: (纸本)9783319968834

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38th Annual International Cryptology conference, CRYPTO 2018

38th Annual International Cryptology Conference, CRYPTO 2018

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38th Annual International Cryptology conference, CRYPTO 2018

ISBN: (纸本)9783319968773

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Spherical Directional Feature Extraction with Artificial Neural Network for Diabetic Retinopathy Classification 13

Spherical Directional Feature Extraction with Artificial Neu...

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13th IEEE International conference on Industrial and Information Systems (IEEE ICIIS)

作者： Randive, Santosh N. Senapati, Ranjan K. Bhosle, Nilesh PCETs PCCOE&R Dept E&TC Pune Maharashtra India VNR VJIET Dept ECE Hyderabad Telangana India Dr DY Patil Collage Engn Dept E&TC Pune Maharashtra India

ISBN: (纸本)9781538684924

Since last two decades one of the fast advancing and most sensitive research area is observed to be detection of diabetic retinopathy (DR). In fundus images detection of retinal lesions depends on grading of diabetic retinopathy and computer-aided screening which led to development of automatic telemedicine system. the detection accuracy is still a matter of concern even after existence of huge contribution in area of detection. the existing algorithm for classification of DR images is not able to encode the directional information in 2D and 3D plane. the proposed approach encodes in four different directions (0 degrees, 45 degrees, 90 degrees and 135 degrees) from the reference pixel to its surrounding pixel in 3D plane. the proposed model includes preprocessing, feature extraction using spherical directional local ternary pattern (SDLTP) and classification using traditional distance measure and learning based distance measure using artificial neural network (ANN). SDLTP is used for extracting the directional feature in 3D plane and to reduce the feature vector length, a principle component analysis (PCA) technique is adopted. Further, two techniques are used for classification purpose (distance measure and ANN). the proposed method classification accuracy is measured in terms of precision. From experimental analysis, the proposed method give significant improvement in classification accuracy in both unsupervised and supervised domain because feature extraction in implemented considering the directional information.

关键词： local Patterns Diabetic Retinopathy Features Neural Network Classification and Distance Measure

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Semi-Supervised Learning for Monocular Gaze Redirection

Semi-Supervised Learning for Monocular Gaze Redirection

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International conference on Automatic Face and Gesture Recognition

作者： Daniil Kononenko Victor Lempitsky Skolkovo Institute of Science and Technology (Skoltech) Moscow Russia

We present a new approach to monocular learning-based gaze redirection problem in images that is able to train on raw sequences of eye images with unknown gaze directions and a small amount of eye images, where the gaze direction is known. the proposed approach is based on a pair of deep networks, where the first encoder-like network maps eye images to a latent space, while the second network maps pairs of latent representations to warping fields implementing the transformation between the pair of the original images. In the proposed system, both networks are trained in an unsupervised manner, while the gaze-annotated images are only used to estimate displacements in the latent space that are characteristic to certain gaze redirections. Quantitative and qualitative evaluation suggests that such characteristic displacement vectors in the learned latent space can be learned from few examples and are transferable across different people and different imaging conditions.

关键词： Training Decoding computer architecture Head Magnetic heads Imaging Visualization

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Automated Detection of Lung Nodules with three-dimensional Convolutional Neural networks 13

Automated Detection of Lung Nodules with Three-dimensional C...

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13th International conference on Medical Information Processing and Analysis

作者： Perez, Gustavo Arbelaez, Pablo Univ Andes Cra 1 N 18A-12 Bogota Colombia

ISBN: (数字)9781510616349

ISBN: (纸本)9781510616349

Lung cancer is the cancer type with highest mortality rate worldwide. It has been shown that early detection with computer tomography (CT) scans can reduce deaths caused by this disease. Manual detection of cancer nodules is costly and time-consuming. We present a general framework for the detection of nodules in lung CT images. Our method consists of the pre-processing of a patient's CT with filtering and lung extraction from the entire volume using a previously calculated mask for each patient. From the extracted lungs, we perform a candidate generation stage using morphological operations, followed by the training of a three-dimensional convolutional neural network for feature representation and classification of extracted candidates for false positive reduction. We perform experiments on the publicly available LIDC-IDRI dataset. Our candidate extraction approach is effective to produce precise candidates with a recall of 99.6%. In addition, false positive reduction stage manages to successfully classify candidates and increases precision by a factor of 7.000.

关键词： Lung cancer lung nodules deep learning computer aided diagnosis

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