Laplacian Support Vector Machines Trained in the Primal

29 September 2009

Papers citing "Laplacian Support Vector Machines Trained in the Primal"

22 / 22 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 199 4 0 28 Oct 2024
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification Gokul Bhusal Ekaterina Merkurjev Guo-Wei Wei 79 1 0 25 May 2023
Multiscale Laplacian Learning Ekaterina Merkurjev D. Nguyen Guo-Wei Wei 77 4 0 08 Sep 2021
Mining Functionally Related Genes with Semi-Supervised Learning K. Shen Razvan Bunescu S. Wyatt 18 1 0 05 Nov 2020
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers S. Melacci Gabriele Ciravegna Angelo Sotgiu Ambra Demontis Battista Biggio Marco Gori Fabio Roli 86 15 0 06 Jun 2020
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points Zitong Wang L. xilinx Wang Raymond H. F. Chan T. Zeng 22 4 0 04 Dec 2019
Deep Metric Learning with Density Adaptivity Yehao Li Ting Yao Yingwei Pan Hongyang Chao Tao Mei 144 11 0 09 Sep 2019
A Distributed Method for Fitting Laplacian Regularized Stratified Models Jonathan Tuck Shane T. Barratt Stephen P. Boyd 60 24 0 26 Apr 2019
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification Yao Qin Lorenzo Bruzzone Biao Li 42 26 0 29 Aug 2018
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification Yao Qin Lorenzo Bruzzone Biao Li Y. Ye 24 32 0 29 Aug 2018
Multi-Label Learning with Global and Local Label Correlation Yue Zhu James T. Kwok Zhi Zhou 89 304 0 04 Apr 2017
Robust Classification of Graph-Based Data Carlos M. Alaíz Michaël Fanuel Johan A. K. Suykens 47 3 0 21 Dec 2016
Error analysis of regularized least-square regression with Fredholm kernel Yanfang Tao Peipei Yuan Biqin Song 25 1 0 21 Nov 2016
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems G. Gnecco 32 3 0 27 Jun 2016
Scalable Semi-supervised Learning with Graph-based Kernel Machine Trung Le Khanh-Duy Nguyen Van Nguyen Vu Nguyen Dinh Q. Phung 35 0 0 22 Jun 2016
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data Tomoya Sakai M. C. D. Plessis Gang Niu Masashi Sugiyama 55 5 0 23 May 2016
Semi-Supervised Representation Learning based on Probabilistic Labeling Ershad Banijamali A. Ghodsi SSL 26 4 0 10 May 2016
Supervised learning of sparse context reconstruction coefficients for data representation and classification Xuejie Liu Jingbin Wang Ming Yin Benjamin Edwards Peijuan Xu 35 22 0 18 Aug 2015
The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification Tobias Reitmaier Bernhard Sick 31 34 0 13 Feb 2015
Learning to see like children: proof of concept Marco Gori Marco Lippi Marco Maggini S. Melacci 33 2 0 11 Aug 2014
Comparison of SVM Optimization Techniques in the Primal John Katzman D. Hosfelt 37 0 0 28 Jun 2014
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis Shandian Zhe Zenglin Xu Y. Qi 47 3 0 26 Apr 2013