A study of methods for fine-grained object classification of arthropod specimens

A study of methods for fine-grained object classification of arthropod specimens

Object categorization is one of the fundamental topics in computer vision research. Most current work in object categorization aims to discriminate among generic object classes with gross differences. However, many applications require much finer distinctions. This thesis focuses on the design, eval...

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Bibliographic Details
Main Author: Lin, Junyuan
Other Authors: Dietterich, Thomas
Language:en_US
Published: 2013
Subjects:
Computer Vision
Object Categorization
Bag-of-Words
Machine Learning
Fine-grained Classification
Stacked Evidence Trees
Computer vision
Machine learning
Arthropoda > Identification > Computer programs
Online Access:http://hdl.handle.net/1957/38009

Internet

http://hdl.handle.net/1957/38009

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