Semantic Sparse Learning in Images and Videos
abstract: Many learning models have been proposed for various tasks in visual computing. Popular examples include hidden Markov models and support vector machines. Recently, sparse-representation-based learning methods have attracted a lot of attention in the computer vision field, largely because o...
Other Authors: | Zhang, Qiang (Author) |
---|---|
Format: | Doctoral Thesis |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/2286/R.I.25183 |
Similar Items
-
A New Approach on Skull Stripping of Brain MRI based on Saliency Detection using Dictionary Learning and Sparse Coding
by: Nallig Eduardo Leal Narváez, et al.
Published: (2019-07-01) -
A Survey of Dictionary Learning Algorithms for Face Recognition
by: Yong Xu, et al.
Published: (2017-01-01) -
Saliency Analysis via Hyperparameter Sparse Representation and Energy Distribution Optimization for Remote Sensing Images
by: Libao Zhang, et al.
Published: (2017-06-01) -
Scaling Up Large-scale Sparse Learning and Its Application to Medical Imaging
Published: (2017) -
Robust detection of neural spikes using sparse coding based features
by: Zuozhi Liu, et al.
Published: (2020-06-01)