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iccpr 2021 - Proceedings of 2021 10th international conference on computing and pattern recognition

ICCPR 2021 - Proceedings of 2021 10th International Conferen...

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10th international conference on computing and pattern recognition, iccpr 2021

ISBN: (纸本)9781450390439

the proceedings contain 63 papers. the topics discussed include: younger face recognition by learning perceptual flows;lightweight facial expression recognition based on multi-scale dense convolutional neural network;imperceptible adversarial attack with entropy feature and segmentation-based constraint;brain connectivity feature mining of post-encephalitis epilepsy;unsupervised de-redundancy and multi-step fusion for continuous Chinese sign language recognition;multi-level relational knowledge distillation for low resolution image recognition;and a survey of person re-identification based on deep learning.

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10th international conference on Soft computing and pattern recognition, SoCPaR 2018

10th International Conference on Soft Computing and Pattern ...

引用

10th international conference on Soft computing and pattern recognition, SoCPaR 2018

ISBN: (纸本)9783030170646

the proceedings contain 38 papers. the special focus in this conference is on Soft computing and pattern recognition. the topics include: Sentiment Analysis on Tweets for Trains Using Machine Learning;a Genetic Algorithm for Superior Solution Set Search Problem;an Intelligent Tool for Detection of Phishing Messages;discrete Wavelet Transform Application in Variable Displacement Pumps Condition Monitoring;characterizing Parkinson’s Disease from Speech Samples Using Deep Structured Learning;combinatorial Optimization Method Considering Distance in Scheduling Problem;an Improved Gas Classification Technique Using New Features and Support Vector Machines;superior Relation Based Firefly Algorithm in Superior Solution Set Search;learning in Twitter Streams with 280 Character Tweets;retweet Predictive Model for Predicting the Popularity of Tweets;Diverse Ranking Approach in MCDM Based on Trapezoidal Intuitionistic Fuzzy Numbers;handcrafted Descriptors-Based Effective Framework for Off-line Text-Independent Writer Identification;server Load Prediction on Wikipedia Traffic: Influence of Granularity and Time Window;evolutionary Genes Algorithm to Path Planning Problems;An Efficient and Secure Forward Error Correcting Scheme for DNA Data Storage;a Blockchain-Based Scheme for Access Control in e-Health Scenarios;Blockchain-Based PKI for Crowdsourced IoT Sensor Information;the Design of a Cloud Forensics Middleware System Base on Memory Analysis;privacy Enhancement of Telecom Processes Interacting with Charging Data Records;warning of Affected Users About an Identity Leak;network Security Evaluation and Training Based on Real World Scenarios of Vulnerabilities Detected in Portuguese Municipalities’ Network Devices;Decision Tree and MCDA Under Fuzziness to Support E-Customer Satisfaction Survey;a Survey of Blockchain Frameworks and Applications.

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42nd German conference on pattern recognition, DAGM GCPR 2020 held in parallel with 25th international Symposium on Vision, Modeling, and Visualization, VMV 2020 and 10th Eurographics Workshop on Visual computing for Biology and Medicine, VCBM 2020

42nd German Conference on Pattern Recognition, DAGM GCPR 202...

引用

42nd German conference on pattern recognition, DAGM GCPR 2020 held in parallel with 25th international Symposium on Vision, Modeling, and Visualization, VMV 2020 and 10th Eurographics Workshop on Visual computing for Biology and Medicine, VCBM 2020

ISBN: (纸本)9783030712778

the proceedings contain 34 papers. the special focus in this conference is on pattern recognition. the topics include: Adversarial Synthesis of Human Pose from Text;long-Term Anticipation of Activities with Cycle Consistency;multi-stage Fusion for One-Click Segmentation;neural Architecture Performance Prediction Using Graph Neural Networks;discovering Latent Classes for Semi-supervised Semantic Segmentation;Riemannian SOS-Polynomial Normalizing Flows;automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning;Does SGD Implicitly Optimize for Smoothness?;Looking Outside the Box: the Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images;semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations;haar Wavelet Based Block Autoregressive Flows for Trajectories;center3D: Center-Based Monocular 3D Object Detection with Joint Depth Understanding;constellation Codebooks for Reliable Vehicle Localization;towards Bounding-Box Free Panoptic Segmentation;proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks;unsupervised Part Discovery by Unsupervised Disentanglement;on the Lifted Multicut Polytope for Trees;conditional Invertible Neural Networks for Diverse Image-to-Image Translation;image Inpainting with Learnable Feature Imputation;4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving;bias Detection and Prediction of Mapping Errors in Camera Calibration;inline Double Layer Depth Estimation with Transparent Materials;a Differentiable Convolutional Distance Transform Layer for Improved Image Segmentation;PET-Guided Attention Network for Segmentation of Lung Tumors from PET/CT Images;self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models;multimodal Semantic Forecasting Based on Conditional Generation of Future Features;learning to Identify Physical Parameters from Video Using Differentiable

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10th international conference on pattern recognition Applications and Methods, ICPRAM 2021 and 11th international conference on pattern recognition Applications and Methods, ICPRAM 2022

10th International Conference on Pattern Recognition Applica...

引用

10th international conference on pattern recognition Applications and Methods, ICPRAM 2021 and 11th international conference on pattern recognition Applications and Methods, ICPRAM 2022

ISBN: (纸本)9783031245374

the proceedings contain 8 papers. the special focus in this conference is on pattern recognition Applications and Methods. the topics include: Retinotopic Image Encoding by Samples of Counts;gesture recognition and Multi-modal Fusion on a New Hand Gesture Dataset;Reduced Precision Research of a GAN Image Generation Use-case;similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks;perusal of Camera Trap Sequences Across Locations;preface.

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2021 Joint 10th international conference on Informatics, Electronics and Vision, ICIEV 2021 and 2021 5th international conference on Imaging, Vision and pattern recognition, icIVPR 2021

2021 Joint 10th International Conference on Informatics, Ele...

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Joint 10th international conference on Informatics, Electronics and Vision, ICIEV 2021 and 2021 5th international conference on Imaging, Vision and pattern recognition, icIVPR 2021

ISBN: (纸本)9781665449212

the proceedings contain 44 papers. the topics discussed include: a wideband rectangular microstrip patch antenna with partial ground plane for 5g applications;development of a Bangla speech to text conversion system using deep learning;automatic identification of mice social behavior through multi-modal latent space clustering;a deep learning approach for Bangla image captioning system;semantic representation of sentences employing an automated threshold;a deep learning approach for Bangla speech to text conversion;a systematic review on the chronological development of Bangla sign language recognition systems;static output feedback stabilizing control for Takagi-Sugeno fuzzy systems;improved transfer learning architecture to classify covid-19 affected chest x-rays using noisy student pre-training;human action recognition based on a sequential deep learning model;and a vision-based lane detection approach for autonomous vehicles using a convolutional neural network architecture.

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ICPRAM 2021 - Proceedings of the 10th international conference on pattern recognition Applications and Methods

ICPRAM 2021 - Proceedings of the 10th International Conferen...

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10th international conference on pattern recognition Applications and Methods, ICPRAM 2021

ISBN: (纸本)9789897584862

the proceedings contain 74 papers. the topics discussed include: multi-level feature selection for oriented object detection;demonstrating the vulnerability of RGB-D based face recognition to GAN-generated depth-map injection;speech recognition using deep canonical correlation analysis in noisy environments;capsule networks with intersection over union loss for binary image segmentation;generalized dilation structures in convolutional neural networks;exploring motion boundaries in an end-to-end network for vision-based Parkinson’s severity assessment;converting image labels to meaningful and information-rich embeddings;exploring slow feature analysis for extracting generative latent factors;state tracking in the presence of heavy-tailed observations;and active output selection strategies for multiple learning regression models.

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Methodology of the Construction of a GDPLL(k) Grammar-Based Syntactic pattern recognition System 10th

Methodology of the Construction of a GDPLL(<i>k</i>) Grammar...

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10th international conference on Computer recognition Systems (CORES)

作者： Flasinski, Mariusz Jurek, Janusz Jagiellonian Univ Informat Technol Syst Dept Ul Prof St Lojasiewicza 4 PL-30348 Krakow Poland

ISBN: (纸本)9783319591629

GDPLL(k) grammars have been introduced as a tool for the construction of syntactic pattern recognition-based systems. the grammars have been successfully used in several different applications. the practical experience with the implementation of a syntactic pattern recognition system based on GDPLL(k) grammars has served to define methodological guidelines for constructing such systems. In the paper key methodological issues are presented.

关键词： Syntactics

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CitiSafe: Adaptive Spatial pattern Knowledge Using Fp-growth Algorithm for Crime Situation recognition

CitiSafe: Adaptive Spatial Pattern Knowledge Using Fp-growth...

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IEEE 10th international conference on Ubiquitous Intelligence and computing (UIC) / IEEE 10th international conference on Autonomic and Trusted computing (ATC)

作者： Isafiadel, Omowunmi E. Bagula, Antoine B. Univ Cape Town Dept Comp Sci ISAT Lab ZA-7925 Cape Town South Africa

ISBN: (纸本)9781479924813

Crime prevention and control are issues of great concern to the government and public safety agencies. If these issues are not well controlled and managed, they could drastically affect the economy of a country negatively over time, since more emigration is naturally induced. With the existence of crime databases in the society, data mining techniques are viable tools for crime situation recognition and control. However, most existing techniques often fall short to consider salient features during the mining process. In this paper, we experimented on various crime categories across 32 locations within the western cape province of the republic of South Africa. Our research focus is to create a flexible and effective, yet simple, solution to crime situation recognition. A successful mining mechanism, adopting a batch-merge paradigm, that builds upon the Fp-Growth algorithm, referred to as CitiSafe algorithm is presented, followed by concluding remarks. the visualization techniques presenting the crime patterns, through our algorithm, would assist law enforcement agencies and public safety organisations to channelize their resources accordingly to achieve a focused and effective crime prevention strategy.

关键词： Public safety Data Mining Crime Situation recognition and Intelligent Platforms

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Indextron 10th

Indextron

引用

10th international conference on pattern recognition Applications and Methods (ICPRAM)

作者： Mikhailov, Alexei Karavay, Mikhail Russian Acad Sci Inst Control Problems Profsoyuznaya St 65 Moscow Russia

ISBN: (纸本)9789897584862

How to do pattern recognition without artificial neural networks, Bayesian classifiers, vector support machines and other mechanisms that are widely used for machine learning? the problem with pattern recognition machines is time and energy demanding training because lots of coefficients need to be worked out. the paper introduces an indexing model that performs training by memorizing inverse patterns mostly avoiding any calculations. the computational experiments indicate the potential of the indexing model for artificial intelligence applications and, possibly, its relevance to neurobiological studies as well.

关键词： pattern recognition Machine Learning Neural Networks Inverse Sets Inverse patterns Multidimensional Indexing

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Multivariate Analysis of Text Data from Image Information Acquired by Wearable Device 10

Multivariate Analysis of Text Data from Image Information Ac...

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Joint 10th international conference on Soft computing and Intelligent Systems (SCIS) / 19th international Symposium on Advanced Intelligent Systems (ISIS)

作者： Domoto, Eri Shibata, Junko Fukushima, Mizuki Okuhara, Koji Hiroshima Univ Econ Fac Econ Hiroshima Japan Kobe Gakuin Univ Fac Econ Kobe Hyogo Japan Fujitsu Hokuriku Syst Ltd Kanazawa Ishikawa Japan Toyama Prefectural Univ Grad Sch Engn Toyama Japan

ISBN: (纸本)9781538626337

In this study, we obtain life log data from visibility information using smart glass which is a wearable device. In the proposed system, it consists of a text data collection part by cooperation between smart glass and image recognition API and activity recognition part. the activity recognition part incorporates multidimensional scaling analysis method and correspondence analysis for classifying data. As a result of utilizing the development system in real life, it was able to detect similarities and events for behavior from the difference of the object caught on sight.

关键词： Multivariate Analysis Life Log Behavior pattern Text Data Mining

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