Unsupervised Feature Learning for RGB-D Image Classification

I‐Hong Jhuo; Shenghua Gao; Liansheng Zhuang; D. T. Lee; Yi Ma

doi:10.1007/978-3-319-16865-4_18

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Unsupervised Feature Learning for RGB-D Image Classification

I‐Hong Jhuo Shenghua Gao Liansheng Zhuang D. T. Lee Yi Ma

Year: 2015 Lecture notes in computer science Pages: 276-289 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-16865-4_18

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Keywords:

Artificial intelligence Computer science RGB color model Normalization (sociology) Pattern recognition (psychology) Contextual image classification Computer vision Feature (linguistics) Artificial neural network Feature extraction Image (mathematics)

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Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised Feature Learning for RGB-D Image Classification

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