An overview on semi-supervised support vector machine

Rapid identification between edible oil and swill-cooked dirty oil by using a semi-supervised support vector machine based on graph and near-infrared spectroscopy

(2015) Yang Zhou et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Towards Making Unlabeled Data Never Hurt

(2015) Yu-Feng Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Sparse semi-supervised support vector machines by DC programming and DCA

(2015) Hoai Minh Le et al.   NEUROCOMPUTING

Successive Overrelaxation for Laplacian Support Vector Machine

(2015) Zhiquan Qi et al.   IEEE Transactions on Neural Networks and Learning Systems

Markov random field based fusion for supervised and semi-supervised multi-modal image classification

(2014) Liang Xie et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Laplacian p-norm proximal support vector machine for semi-supervised classification

(2014) Junyan Tan et al.   NEUROCOMPUTING

Semi-Supervised Hyperspectral Image Classification Using Spatio-Spectral Laplacian Support Vector Machine

(2013) Lixia Yang et al.   IEEE Geoscience and Remote Sensing Letters

Semisupervised Self-Learning for Hyperspectral Image Classification

(2013) Inmaculada Dopido et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Fast and simple gradient-based optimization for semi-supervised support vector machines

(2013) Fabian Gieseke et al.   NEUROCOMPUTING

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

(2013) Isaac Triguero et al.   NEUROCOMPUTING

Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification

(2013) Yong Luo et al.   IEEE Transactions on Neural Networks and Learning Systems

Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification

(2012) Yong Luo et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Ensemble Manifold Regularization

(2012) Bo Geng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A multiple kernel framework for inductive semi-supervised SVM learning

(2012) Xilan Tian et al.   NEUROCOMPUTING

Genetic algorithm–based training for semi-supervised SVM

(2010) Mathias M. Adankon et al.   NEURAL COMPUTING & APPLICATIONS

A fast quasi-Newton method for semi-supervised SVM

(2010) I. Sathish Reddy et al.   PATTERN RECOGNITION

Semisupervised Remote Sensing Image Classification With Cluster Kernels

(2009) D. Tuia et al.   IEEE Geoscience and Remote Sensing Letters

Least Square Transduction Support Vector Machine

(2009) Rui Zhang et al.   NEURAL PROCESSING LETTERS

Semisupervised Image Classification With Laplacian Support Vector Machines

(2008) L. Gomez-Chova et al.   IEEE Geoscience and Remote Sensing Letters