Reconciliation of statistical and spatial sparsity for robust visual classification

Recent image classification algorithms, by learning deep features from large-scale datasets, have achieved significantly better results comparing to the classic feature-based approaches. However, there are still various challenges of image classifications in practice, such as classifying noisy image...

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Bibliographic Details
Main Authors: Cheng, Hao, Yap, Kim-Hui, Wen, Bihan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172865
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Institution: Nanyang Technological University
Language: English