Learning optimally separated class-specific subspace representations using convolutional autoencoder

• Main Authors: Sharma, Krishan, Gupta, Shikha, Rameshan, Renu
• Format: Journal Article
• Language: English
• Published: 18.05.2021
• Subjects: Computer Science - Computer Vision and Pattern Recognition

In this work, we propose a novel convolutional autoencoder based architecture to generate subspace specific feature representations that are best suited for classification task. The class-specific data is assumed to lie in low dimensional linear subspaces, which could be noisy and not well separated...