Semi-supervised kernel density estimation for video annotation

Meng Wang; Xian‐Sheng Hua; Tao Mei; Richang Hong; Guo-Jun Qi; Yan Song; Li-Rong Dai

doi:10.1016/j.cviu.2008.08.003

ScienceGate Book Chapters

JOURNAL ARTICLE

Semi-supervised kernel density estimation for video annotation

Meng Wang Xian‐Sheng Hua Tao Mei Richang Hong Guo-Jun Qi Yan Song Li-Rong Dai

Year: 2008 Journal: Computer Vision and Image Understanding Vol: 113 (3)Pages: 384-396 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2008.08.003

Get Full-Text PDF Get Analytical Report

Keywords:

Kernel density estimation Computer science Artificial intelligence Kernel (algebra) Density estimation Annotation Variable kernel density estimation Machine learning Semi-supervised learning Pattern recognition (psychology) Parametric statistics Supervised learning Kernel method Mathematics Support vector machine Statistics Artificial neural network

Metrics

Cited By

2.94

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semi-supervised kernel density estimation for video annotation

Metrics

Citation History

Topics

Related Documents

Automatic video annotation by semi-supervised learning with kernel density estimation

Automatic image annotation by semi-supervised manifold kernel density estimation

Weakly supervised segment annotation via expectation kernel density estimation

Semi supervised deep kernel design for image annotation

Supervised kernel density estimation K-means