Tensor learning and automated rank selection for regression-based video classification-Reference-Cited by-同舟云学术

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Tensor learning and automated rank selection for regression-based video classification

Published:2018-04-27 Issue:22 Volume:77 Page:29213-29230
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhang Jianguang,Liu Yanbin,Jiang Jianmin

Funder

Chinese Natural Science Foundation

Shenzhen CommissionforScientificResearch&Innovations

Hebei Provincial Natural Science Foundation

Project of Hebei Province Higher Educational Science and Technology Research

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-018-5916-6/fulltext.html

Reference31 articles.

1. Bootkrajang J, Kabśan A (2014) Learning kernel logistic regression in the presence of class label noise. Pattern Recogn 47(11):3641–3655

2. Chang C-C, Lin C-J (2011) Libsvm: a library for support vector machines. ACM Trans Intell Syst Technol (TIST) 2(3):27

3. Genkin A, Lewis DD, Madigan D (2007) Large-scale bayesian logistic regression for text categorization. Technometrics 49(3):291–304

4. Gönen M, Alpaydın E (2011) Multiple kernel learning algorithms. J Mach Learn Res 12:2211– 2268

5. Guo W, Kotsia I, Patras I (2012) Tensor learning for regression. IEEE Trans Image Process 21(2):816–827

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2. Recent trends in crowd analysis: A review;Machine Learning with Applications;2021-06

3. Tensor Linear Regression: Degeneracy and Solution;IEEE Access;2021

4. From video pornography to cancer cells: a tensor framework for spatiotemporal description;Multimedia Tools and Applications;2020-02-04

5. Two Stream Model for Crowd Video Classification;2019 8th European Workshop on Visual Information Processing (EUVIP);2019-10

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