Image understanding using sparse representations /

Image understanding using sparse representations / Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan Turaga, Andreas Spanias.

Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods hav...

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Online Access: Full Text (via Morgan & Claypool)
Main Authors: Thiagarajan, Jayaraman Jayaraman (Author), Ramamurthy, Karthikeyan Natesan (Author), Turaga, Pavan (Author), Spanias, Andreas (Author)
Format: eBook
Language:English
Published: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2014.
Series:Synthesis lectures on image, video, and multimedia processing (Online) ; # 15.
Subjects:
Image processing > Digital techniques > Mathematics.
Sparse matrices.
Machine learning.
Computer vision.

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Call Number: TA1637.5 .T455 2014
TA1637.5 .T455 2014 Available

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