Hierarchical feature learning for image categorization
Extracting informative, robust, and compact data representation (feature) has been considered as one of the key factors for good performance in computer vision, and image categorization is one of the most fundamental computer vision problems. Traditionally, hand-crafted features like SIFT and HOG ha...
Saved in:
Main Author: | Zuo, Zhen |
---|---|
Other Authors: | Wang Gang |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/65659 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Efficient feedforward categorization of objects and human postures with address-event image sensors
by: Chen, Shoushun, et al.
Published: (2013) -
A study of CNN transfer learning for image processing
by: Koh, Yee Zuo
Published: (2020) -
Automated categorization of person by gender/ethnicity
by: Raghuraman Katherayson
Published: (2011) -
Learning descriptors for sequence-based hierarchical place recognition
by: Lan, Xin
Published: (2022) -
Feature extraction and classification for image analysis
by: Liu, Nan
Published: (2009)