Multi-Modal Curriculum Learning for Semi-Supervised Image Classification

IEEE Transactions on Image Processing- United States

doi 10.1109/tip.2016.2563981

Full Text

Abstract

Available in

Date

Authors

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Semi-Supervised Dictionary Learning With Label Propagation for Image Classification

Computational Visual Media
Pattern RecognitionComputer VisionComputer GraphicsComputer-Aided DesignArtificial Intelligence
2017English

Adaptively Unified Semi-Supervised Learning for Cross-Modal Retrieval

2017English

Semi-Supervised Spectral-Texture Image Classification Algorithm

Interexpo GEO-Siberia
2019English

Supervised Representation Learning for Multi-Label Classification

Machine Learning
Artificial IntelligenceSoftware
2019English

Semi-Supervised Learning for Electron Microscopy Image Segmentation

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Random Multi-Graphs: A Semi-Supervised Learning Framework for Classification of High Dimensional Data

Image and Vision Computing
ElectricalComputer VisionSignal ProcessingPattern RecognitionElectronic Engineering
2017English

Semi-Supervised Multi-Label Collective Classification Ensemble for Functional Genomics

BMC Genomics
BiotechnologyGenetics
2014English

Semi-Supervised Multi-View Learning for Gene Network Reconstruction

PLoS ONE
Multidisciplinary
2015English

On Semi-Supervised Learning of Gaussian Mixture Models for Phonetic Classification

2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy