Adaptive processing of data structures for image content classification, indexing and retrieval of flowers
Computer-aided flower identification is a very useful tool for plant species identification aspect. In this research, a study was made on a development of machine learning system to characterize flower images efficiently. One of the most popular frameworks for the adaptive processing of data structu...
Saved in:
Main Author: | Cho, David Siu Yeung. |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Research Report |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/17247 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Enhanced machine learning techniques for microarray cancer classification
by: Shen, Li
Published: (2008) -
Evolution by adapting surrogates
by: Ong, Yew Soon, et al.
Published: (2014) -
Real-time classification and recognition of EEG/EMG signals for BCI
by: Lee, Vic Son
Published: (2017) -
Classification of pH Levels using a mobile phone
by: Vuong, Nhu Khue.
Published: (2009) -
Adaptive and formal memetic frameworks.
by: Nguyen, Quang Huy.
Published: (2011)