22,477 resources related to

Training data

Top Conferences on Training data

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

2022 IEEE International Conference on Prognostics and Health Management (ICPHM)

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2021 International Symposium ELMAR

2021 IEEE International Conference on Data Mining (ICDM)

2021 21st International Conference on Control, Automation and Systems (ICCAS)

2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)

2020 IEEE 32nd International Conference on Software Engineering Education and Training (CSEE&T)

2020 IEEE International Conference on Image Processing (ICIP)

2019 9th International Conference on Recent Advances in Space Technologies (RAST)

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

2019 IEEE/CVF International Conference on Computer Vision (ICCV)

2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)

2018 13th World Congress on Intelligent Control and Automation (WCICA)

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

2018 XXIII International Conference on Electrical Machines (ICEM)

2018 IEEE-NPSS Real Time Conference (RT)

2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

2018 24th International Conference on Pattern Recognition (ICPR)

2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

2018 IEEE International Conference on Intelligent Transportation Systems (ITSC)

2018 26th Signal Processing and Communications Applications Conference (SIU)

2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)

2018 European Conference on Antennas and Propagation (EuCAP)

2018 IEEE Congress on Evolutionary Computation (CEC)

2018 International Joint Conference on Neural Networks (IJCNN)

2018 52nd Annual Conference on Information Sciences and Systems (CISS)

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

2017 36th Chinese Control Conference (CCC)

2017 IEEE International Conference on Autonomic Computing (ICAC)

2017 IEEE International Conference on Information and Automation (ICIA)

2017 International Conference on Machine Learning and Cybernetics (ICMLC)

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)

2017 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

2017 14th Web Information Systems and Applications Conference (WISA)

2017 28th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)

2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP)

2017 18th International Conference on Electronic Packaging Technology (ICEPT)

2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)

2016 IEEE International Conference on Management of Innovation and Technology (ICMIT)

2016 World Automation Congress (WAC)

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)

2015 Second International Conference on Education Technologies and Computers (ICETC)

2015 2nd International Conference on Biomedical Engineering (ICoBE)

2015 11th International Conference on Natural Computation (ICNC)

2014 IEEE Symposium on Security and Privacy (SP)

2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI)

2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

2013 9th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM)

2013 21st International Conference on Geoinformatics

2012 2nd International Conference on Business Management and Electronic Information (BMEI)

2012 International Conference on Cyberworlds (CW)

2012 IIAI International Conference on Advanced Applied Informatics (IIAIAAI)

2012 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA)

2012 IEEE International Conference on Automation and Logistics (ICAL)

2012 International Conference on Industrial Control and Electronics Engineering (ICICEE)

2011 3rd International Conference on Computer Design and Applications (ICCDA 2011)

2011 23rd Chinese Control and Decision Conference (CCDC)

2011 IEEE International Conference on Advanced Power System Automation and Protection (APAP)

2011 International Conference on Electrical and Control Engineering (ICECE)

2011 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2011)

2011 IEEE/PES Power Systems Conference and Exposition (PSCE)

2011 3rd International Workshop on Education Technology and Computer Science (ETCS)

2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE)

2010 2nd International Conference on Information Science and Engineering (ICISE)

2010 3rd International Conference on Business Intelligence and Financial Engineering (BIFE)

2010 ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM 2010)

2010 2nd International Symposium on Data, Privacy & E-Commerce (ISDPE 2010)

2010 3rd International Symposium on Knowledge Acquisition and Modeling (KAM)

2010 International Symposium on Computer, Communication, Control and Automation (3CA)

2009 Transmission & Distribution Conference & Exposition: Asia and Pacific (T&D Asia)

2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)

2009 IEEE International Conference on Electro/Information Technology (eit2009)

2009 ICROS-SICE International Joint Conference (ICCAS-SICE 2009)

2009 The Multiconference on Computational Engineering in Systems Applications (CESA)

2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop (KAM 2008 Workshop)

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Top Videos on Training data

A Probabilistic Scheme For Representation Learning With Radial Transform Images

Sequence-Level Consistency Training For Semi-Supervised End-To-End Automatic Speech Recognition

Xmu-Ts Systems For Nist Sre19 Cts Challenge

Training Code-Switching Language Model With Monolingual Data

Towards A New Understanding Of The Training Of Neural Networks With Mislabeled Training Data

Mitosis Detection under Limited Annotation: A Joint Learning Approach

Text Adaptation For Speaker Verification With Speaker-Text Factorized Embeddings

Training Asr Models By Generation Of Contextual Information

Super-resolving Commercial Satellite Imagery Using Realistic Training Data

Effective Wavenet Adaptation For Voice Conversion With Limited Data

Anomaly Detection With Training Data In Hyperspectral Imagery

Adaptive Matched Filter Using Non-Target Free Training Data

Improving Sequence-To-Sequence Speech Recognition Training With On-The-Fly Data Augmentation

A Multi-Task Self-Supervised Learning Framework for Scopy Images

Prediction Of Vessel Trajectories From Ais Data Via Sequence-To-Sequence Recurrent Neural Networks

Focus On Semantic Consistency For Cross-Domain Crowd Understanding

Leveraging Self-supervised Denoising for Image Segmentation

Bayesian Estimation Of Plda With Noisy Training Labels, With Applications To Speaker Verification

Age-Based Scheduling Policy For Federated Learning In Mobile Edge Networks

Learning Semi-Supervised Anonymized Representations By Mutual Information

Leveraging Unpaired Text Data For Training End-To-End Speech-To-Intent Systems

Training Keyword Spotters With Limited And Synthesized Speech Data

Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy Of Coronary Artery Disease Using Ppg

Speaker-Invariant Affective Representation Learning Via Adversarial Training

Converting Written Language To Spoken Language With Neural Machine Translation For Language Modeling

Improving Reverberant Speech Training Using Diffuse Acoustic Simulation

Private Fl-Gan: Differential Privacy Synthetic Data Generation Based On Federated Learning

IEEE Entrepreneurship @ #CollisionConf: Mighty AI

Acoustic Scene Classification For Mismatched Recording Devices Using Heated-Up Softmax And Spectrum Correction

Liver Segmentation in CT with MRI Data: Zero-Shot Domain Adaptation by Contour Extraction and Shape Priors

Chirping Up The Right Tree: Incorporating Biological Taxonomies Into Deep Bioacoustic Classifiers

Augmentation Data Synthesis Via Gans: Boosting Latent Fingerprint Reconstruction

Sub-Dip: Optimization On A Subspace With Deep Image Prior Regularization And Application To Superresolution

Towards Data-Efficient Modeling For Wake Word Spotting

Speaker Diarization With Session-Level Speaker Embedding Refinement Using Graph Neural Networks

Hierarchical Sequence Representation With Graph Network

Deep Learning Based Resource Allocation: How Much Training Data is Needed?

Raspberry Pi High Speed SerDes Characterization Platform

Acoustic Scene Classification For Mismatched Recording Devices Using Heated-Up Softmax And Spectrum Correction

Investigating Generalization In Neural Networks Under Optimally Evolved Training Perturbations

Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT

An Improved Frame-Unit-Selection Based Voice Conversion System Without Parallel Training Data

Instance-Based Model Adaptation For Direct Speech Translation

Skinaugment: Auto-Encoding Speaker Conversions For Automatic Speech Translation

Language-Agnostic Multilingual Modeling

Spectrum Allocation In Wireless Networks For Crowd Labelling

An Empirical Bayes Approach To Partially Labeled And Shuffled Data Sets

Training Spoken Language Understanding Systems With Non-Parallel Speech And Text

Hierarchical Attention Transfer Networks For Depression Assessment From Speech

Learning To Transfer Multi-Speaker Emotional Prosody To A Neutral Speaker

Performance-Guided Synthesis of Personalized Virtual Environments for the Future of Work & Training

Generative union of surfaces model: Deep architectures re-explained

Al2: Progressive Activation Loss For Learning General Representations In Classification Neural Networks

Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation

A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder

Multilingual Acoustic Word Embedding Models For Processing Zero-Resource Languages

Photoshopping Colonoscopy Video Frames

Rnn-Transducer With Stateless Prediction Network

The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction

Sequence-To-Sequence Singing Synthesis Using The Feed-Forward Transformer

Jhu-Hltcoe System For The Voxsrc Speaker Recognition Challenge

Exploiting Uncertain Deep Networks for Data Cleaning in Digital Pathology

Digital Health & Biometrics: Hacking Humans

Speaker Augmentation For Low Resource Speech Recognition

Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory For End-To-End Asr

A Study Of Generalization Of Stochastic Mirror Descent Algorithms On Overparameterized Nonlinear Models

Cross Lingual Transfer Learning For Zero-Resource Domain Adaptation

Semi-Supervised Speaker Adaptation For End-To-End Speech Synthesis With Pretrained Models

Improving Prosody With Linguistic And Bert Derived Features In Multi-Speaker Based Mandarin Chinese Neural Tts

Object Detection And 3D Estimation Via An Fmcw Radar Using A Fully Convolutional Network

Learning Fractional Orthogonal Latent Consistent Features For Face Hallucination And Recognition

Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI

Breast Lesion Segmentation in Ultrasound Images with Limited Annotated Data

Learning Product Graphs From Multidomain Signals

A Random Gossip Bmuf Process For Neural Language Modeling

The Rwth Asr System For Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment

Staged Training Strategy And Multi-Activation For Audio Tagging With Noisy And Sparse Multi-Label Data

Mellotron: Multispeaker Expressive Voice Synthesis By Conditioning On Rhythm, Pitch And Global Style Tokens

Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration

6-Month Infant Brain MRI Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks

Bone Structures Extraction and Enhancement in Chest Radiographs Via CNN Trained on Synthetic Data

Semi-Supervised Brain Lesion Segmentation Using Training Images with and without Lesions

Learning to Detect Brain Lesions from Noisy Annotations

Recursive Segmentation Refinement Without Manual Annotations

A Benchmark for Deep Learning Reconstruction Methods for Low-Dose Computed Tomography

Self-Supervised Physics-Based Deep Learning MRI Reconstruction without Fully-Sampled Data

Digital Neuromorphic Design of a Liquid State Machine for Real-Time Processing - Nicholas Soures: 2016 International Conference on Rebooting Computing

Ising-GAN: Annotated Data Augmentation with a Spatially Constrained Generative Adversarial Network

Adversarial-Based Domain Adaptation Networks for Unsupervised Tumour Detection in Histopathology

Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy

Learning to Solve Inverse Problems in Imaging

Impact of 1D and 2D Visualisation on EEG-fMRI Neurofeedback Training During a Motor Imagery Task

Low Power Image Recognition: The Challenge Continues

Stimulus Speech Decoding from Human Cortex with Generative Adversarial Network Transfer Learning

Federated Learning: State of the Art, Current Trends and Challenges

EM-Net: Centerline-Aware Mitochondria Segmentation in EM Images Via Hierarchical View-Ensemble Convolutional Network

A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation

Machine Learning in MRI Reconstruction

Evaluating Multi-Class Segmentation Errors with Anatomical Priors

D3 Simulation Model for RFID Based Motion Capture and Localization: Develop and Validate RFID Based Algorithms Substantial Training Data before Implementation

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Xplore Articles related to Training data

DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks

Privacy-preserving Efficient Federated-Learning Model Debugging

Few-Shot Steel Surface Defect Detection

UniQGAN: Unified Generative Adversarial Networks for Augmented Modulation Classification

On the Design and Analysis of the Privacy-Preserving SVM Classifier

HarMI: Human Activity Recognition via Multi-modality Incremental Learning

Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning

CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective

FEDAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

Empirical evaluation of active sampling for CRF-based analysis of pages

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Periodicals related to Training data

Audio, Speech, and Language Processing, IEEE Transactions on

Biomedical Engineering, IEEE Transactions on

Communications Magazine, IEEE

Communications, IEEE Transactions on

Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Device and Materials Reliability, IEEE Transactions on

Dielectrics and Electrical Insulation, IEEE Transactions on

Energy Conversion, IEEE Transaction on

Fuzzy Systems, IEEE Transactions on

Geoscience and Remote Sensing Letters, IEEE

Geoscience and Remote Sensing, IEEE Transactions on

Image Processing, IEEE Transactions on

Industrial Electronics, IEEE Transactions on

Information Forensics and Security, IEEE Transactions on

Information Technology in Biomedicine, IEEE Transactions on

Information Theory, IEEE Transactions on

Intelligent Transportation Systems, IEEE Transactions on

Knowledge and Data Engineering, IEEE Transactions on

Medical Imaging, IEEE Transactions on

Neural Networks, IEEE Transactions on

Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Nuclear Science, IEEE Transactions on

Oceanic Engineering, IEEE Journal of

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Power Systems, IEEE Transactions on

Proceedings of the IEEE

Signal Processing Letters, IEEE

Signal Processing, IEEE Transactions on

Systems, Man, and Cybernetics, Part B, IEEE Transactions on

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Vehicular Technology Magazine, IEEE

Vehicular Technology, IEEE Transactions on

Visualization and Computer Graphics, IEEE Transactions on

Wireless Communications, IEEE

Wireless Communications, IEEE Transactions on

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E-books related to Training data

Distributed Simulation

Adversarial Machine Learning

Radial-Basis Function Networks

Adversarial Machine Learning for 5G Communications Security

10 LOOKING UNDER THE HOOD OF DEEP NEURAL NETWORKS

Evading Machine Learning Based Network Intrusion Detection Systems with GANs

Distributed Learning in Wireless Sensor Networks

Bayesian Nonparametric Classification

A Survey of Discriminative Language Modeling Approaches for Large Vocabulary Continuous Speech Recognition

Adaptation and Discriminative Training of Acoustic Models

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Courses related to Training data

IEEE/IAPP Data Privacy Engineering Collection

Machine Learning in a Data-Driven Business Environment

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Top Organizations on Training data

Aerospace & Electronics Systems

Circuits & Systems

Communications

Computational Intelligence

Computer

Control Systems

Dielectrics & Electrical Insulation

Electron Devices

Engineering in Medicine & Biology

Geoscience & Remote Sensing

Industrial Electronics

Information Theory

Intelligent Transportation Systems

Member and Geographic Activities

Nuclear & Plasma Science

Oceanic Engineering

Power & Energy

Reliability

Signal Processing

Systems, Man & Cybernetics

Technical Activities Board

Ultrasonics, Ferroelectrics & Frequency Control

Vehicular Technology

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Most published Xplore authors for Training data

Li Guangjun

Pei Kejun

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