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https://www-users.cs.umn.edu/~qzhao/publications/pdf/iccv07_cotracking.pdf
of our approach - online support vector machines and co-training. The proposed semi-supervised learning frame-work is presented in section 3. Experiments and compar-isons are shown in section 4. We make conclusions and discuss future work in section 5. 2. Background 2.1. Online Support Vector Machines Using support vector machines for ...
https://www.semanticscholar.org/paper/Co-Tracking-Using-Semi-Supervised-Support-Vector-Tang-Brennan/d1a262d97c7bd3411f3c0a69756ad0c8bcda37eb
Co-Tracking Using Semi-Supervised Support Vector Machines @article{Tang2007CoTrackingUS, title={Co-Tracking Using Semi-Supervised Support Vector Machines}, author={Feng Tang and Shane Brennan and Qi Zhao and Hai Tao}, journal={2007 IEEE 11th International Conference on Computer Vision}, year={2007}, pages={1-8} }
https://ieeexplore.ieee.org/document/4408954/
Co-Tracking Using Semi-Supervised Support Vector Machines Abstract: This paper treats tracking as a foreground/background classification problem and proposes an online semi- supervised learning framework. Initialized with a small number of labeled samples, semi-supervised learning treats each new sample as unlabeled data. ... Classification of ...
https://papers.nips.cc/paper/1582-semi-supervised-support-vector-machines.pdf
In this work we propose a method for semi-supervised support vector machines (S3VM). S3VM are constructed using a mixture of labeled data (the training set) and unlabeled data (the working set). The objective is to assign class labels to the working set such that the …
https://vision.soe.ucsc.edu/node/278
Hossein, Seongdo and Siyang successfully defended their theses and are off to great careers. Congrats to all - we'll miss you guys!
https://www.researchgate.net/publication/2370298_Semi-Supervised_Support_Vector_Machines
As one of the most popular semi-supervised learning methods, Semisupervised support vector machines (S3VM) attempts to standardize and adjust decision …
http://www.cs.cmu.edu/%7Eninamf/courses/601sp15/slides/18_svm-ssl_03-25-2015.pdf
Geometric Margin Definition: The margin of example w.r.t. a linear sep. is the distance from to the plane ⋅ =0. 1 w Margin of example 1 2 Margin of example 2 If =1, margin of x
https://vision.soe.ucsc.edu/node/176
Co-Tracking Using Semi-Supervised Support Vector Machines Submitted by Anonymous on Thu, 09/20/2007 - 16:44 Feng Tang, Shane Brennan, Qi Zhao, Hai Tao, "Co-Tracking Using Semi-Supervised Support Vector Machines", in Proc. IEEE ICCV, October 2007.
https://link.springer.com/article/10.1007%2Fs00521-015-2113-7
Nov 18, 2015 · Support vector machine (SVM) is a machine learning method based on statistical learning theory. It has a lot of advantages, such as solid theoretical foundation, global optimization, the sparsity of the solution, nonlinear and generalization. The standard form of SVM only applies to supervised learning. Large amount of data generated in real life is unlabeled, and the standard form of SVM ...Cited by: 16
https://www.morganclaypool.com/doi/abs/10.2200/S00196ED1V01Y200906AIM006
In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation.Cited by: 1474
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