Efficient learning methods for high dimensional visual data

Efficient learning methods for high dimensional visual data

High dimensional visual data, derived from images or videos, is ubiquitous as advance camera technologies enable more measurements per sample to be captured. Increasingly sophisticated visual data representations further contribute to an increase in data dimensionality. To facilitate high level visu...

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Bibliographic Details
Main Author: Chen, Marcus Caixing
Other Authors: Cham Tat Jen
Format: Thesis
Language:English
Published: 2015
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:https://hdl.handle.net/10356/65624

Internet

https://hdl.handle.net/10356/65624

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