Advances in Visual Computing: 15th International Symposium, Isvc 2020, San Diego, Ca, Usa, October 5-7, 2020, Proceedings, Part II, Bebis George, Yin Zhaozheng, Kim Edward
Описание: Deep Learning.- Regularization and Sparsity for Adversarial Robustness and Stable Attribution.- Self-Competitive Neural Networks.- A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources.- Nonconvex Regularization for Network Slimming: Compressing CNNs Even More.- Biologically Inspired Sleep Algorithm for VariationalAuto-Encoders.- A Deep Genetic Programming based Methodology for Art Media Classification Robust to Adversarial Perturbations.- rcGAN: Learning a generative model for arbitrary size image generation.- Sketch-Inspector: a Deep Mixture Model for High-Quality Sketch Generation of Cats.- Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3.- Uncertainty Estimates in Deep Generative Models using Gaussian Processes.- Segmentation.- Towards Optimal Ship Navigation Using Image Processing.- Overscan Detection in Digitized Analog Films by Precise Sprocket Hole Segmentation.- Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation.- CSC-GAN: Cycle and semantic consistency for dataset augmentation.- Improvements on the Superpixel Hierarchy Algorithm with Applications to Image Segmentation and Saliency Detection.- Visualization.- Referenced Based Color Transfer for Medical Volume Rendering.- An Empirical Methodological Study of Evaluation Methods Applied to Educational Timetabling Visualizations.- Real-Time Contrast Enhancement for 3DMedical Images using Histogram Equalization.- Flow Map Processing by Space-Time Deformation.- GenExplorer: Visualizing and Comparing Gene Expression Levels via Differential Charts.- Video Analysis and Event Recognition.- An Event-Based Hierarchical Method for Customer Activity Recognition in Retail Stores.- Fully Autonomous UAV-based Action Recognition System Using Aerial Imagery.- Hierarchical Action Classification with Network Pruning.- An Approach Towards Action Recognition using Part Based Hierarchical Fusion.- ST: Computational Bioimaging.- Ensemble Convolutional Neural Networks for the Detection of Microscopic Fusarium Oxysporum.- Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches.- Multi-Label Classification of Panoramic Radiographic Images using a Convolutional Neural Network.- Ink Marker Segmentation in Histopathology Images Using Deep Learning.- P-FideNet: Plasmodium Falciparum Identification Neural Network.- Applications.- Lightless Fields: Enhancement and Denoising of Light-defficient Light Fields.- FA3D: Fast and Accurate 3D Object Detection.- Generalized Inverted Dirichlet Optimal predictor for Image inpainting.- BVNet: A 3D End-to-end Model Based on Point Cloud.- Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze.- Biometrics.- Deep Partial Occlusion Facial Expression Recognition via Improved CNN.- Towards an Effective Approach for Face Recognition with DCGANs Data Augmentation.- Controlled AutoEncoders to Generate Faces from Voices.- Gender and Age Estimation without Facial Information from Still Images.- Face Reenactment Based Facial Expression Recognition.- Motion and Tracking.- Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters.- Asynchronous Corner Tracking Algorithm based on Lifetime of Events for DAVIS Cameras.- TAGCN: Topology-Aware Graph Convolutional Network for Trajectory Prediction.- 3D articulated body model using anthropometric control points and an articulation video.- Body Motion Analysis for Golf Swing Evaluation.- Computer Graphics.- Simulation of High-Definition Pixel-Headlights.- ConcurrentHull: A Fast Parallel Computing Approach to the Convex Hull Problem.- A Data-Driven Creativity Measure for 3D Shapes.- Virtual Reality.- Walking in a Crowd Full of Virtual Characters: Effects of Virtual Character Appearance on Human Movement Behavior.- I
Описание: The Symposium provides a forum in virtual presentation for scholars, researchers and practitioners who are interested in the modelling and simulation of business processes, production and industrial processes, service and administrative processes, and public sector processes to develop theory and practice of simulation and process modelling.
Описание: This volume LNCS 12557 constitutes the refereed proceedings of the 17th International Symposium on Neural Networks, ISNN 2020, held in Cairo, Egypt, in December 2020.The 24 papers presented in the two volumes were carefully reviewed and selected from 39 submissions. The papers were organized in topical sections named: optimization algorithms;
Neural Networks and Machine Learning.- Automata.- Logics.- Techniques for Verification, Analysis and Testing.- Model Checking and Decision Procedures.- Synthesis.- Randomization and Probabilistic Systems.
Описание: Invited.- Plasticity in cancer cell populations: biology, mathematics and philosophy of cancer.- Statistical and Machine Learning Methods for Cancer Research.- CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer.- Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer.- Discriminative Localized Sparse Representations for Breast Cancer Screening.- Activation vs. Organization: Prognostic Implications of T and B cell Features of the PDAC Microenvironment.- On the use of neural networks with censored time-to-event data.- Mathematical Modeling for Cancer Research.- tugHall: a tool to reproduce Darwinian evolution of cancer cells for simulation-based personalized medicine.- General Cancer Computational Biology.- The potential of single cell RNA-sequencing data for the prediction of gastric cancer serum biomarkers.- Poster.- Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection.- Detecting subclones from spatially resolved RNA-seq data.- Novel driver synonymous mutations in the coding regions of GCB lymphoma patients improve the transcription levels of BCL2.
Описание: This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020.
Описание: This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020.
Описание: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions.
Описание: This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020.
Описание: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions.
Описание: This book gathers the proceedings of the 16th International Conference on Computing and Information Technology (IC2IT 2020), held on May 14th-15th, 2020, at Dusit Thani Pattaya, Thailand.
Автор: Saeed Faisal, Al-Hadhrami Tawfik, Mohammed Fathey Название: Advances on Smart and Soft Computing: Proceedings of Icacin 2020 ISBN: 9811560471 ISBN-13(EAN): 9789811560477 Издательство: Springer Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributed Model.- Automatic Detection of Diabetic Retinopathy using Custom CNN and Grad-CAM.- A Zero-Knowledge Identification Scheme Based on the Discrete Logarithm Problem and Elliptic Curves.- SMOTE-ENN Based Data Sampling and Improved Dynamic Ensemble Selection for Imbalanced Medical Data Classification.- Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classification on Small Datasets.- Yemeni Paper Currency Recognition System Using Deep Learning Approach.- Tuning Hyper-Parameters of Machine Learning Methods for Improving the Detection of Hate Speech.- Performance Comparison of Machine Learning Techniques in Identifying Dementia from Open Access Clinical Datasets.- Clustering Analysis to Improve Web Search Ranking Using PCA and RMSE.- A Parallel Global TFIDF Feature Selection using Hadoop for Big Data Text Classification.
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