Investigating biological feature detectors in simple pattern recognition towards complex saliency prediction tasks
The conventional convolution filter in deep architectures has proven its capability to extract semantic information from the input images and to use these in different visual tasks. For many researchers in computer vision, this raises the question, have pattern recognition models begun to converge o...
Saved in:
Main Author: | Cordel, Macario O., II |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2018
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_doctoral/551 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Characterizing the SOM feature detectors under various input conditions
by: Cordel, Macario O., II, et al.
Published: (2019) -
Sparse representation for computer vision and pattern recognition
by: Wright, J., et al.
Published: (2014) -
Low-shot Object Detection via Classification Refinement.
by: Li, Yiting, et al.
Published: (2020) -
Thumbmark recognition system
by: Antonio, Percival S., et al.
Published: (1993) -
2D partially occluded object recognition using curve moments
by: Lim, K.B., et al.
Published: (2014)