Semi-supervised learning and feature evaluation for RGB-D object recognition

Yanhua Cheng; Xin Zhao; Kaiqi Huang; Tieniu Tan

doi:10.1016/j.cviu.2015.05.007

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JOURNAL ARTICLE

Semi-supervised learning and feature evaluation for RGB-D object recognition

Yanhua Cheng Xin Zhao Kaiqi Huang Tieniu Tan

Year: 2015 Journal: Computer Vision and Image Understanding Vol: 139 Pages: 149-160 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2015.05.007

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Keywords:

Artificial intelligence Computer science RGB color model Feature (linguistics) Pattern recognition (psychology) Supervised learning Object (grammar) Machine learning Feature learning Semi-supervised learning Modality (human–computer interaction) Set (abstract data type) Computer vision Artificial neural network

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Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Semi-supervised learning and feature evaluation for RGB-D object recognition

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