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Sparseness helps: Sparsity Augmented Collaborative Representation for Classification
Naveed Akhtar, Faisal Shafait, Ajmal Mian
Many classification approaches first represent a test sample using the training samples of all the classes. This collaborative representation is then used to label the test sample.…
Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification
Muhammad Uzair, Faisal Shafait, Bernard Ghanem +1
Efficient and accurate joint representation of a collection of images, that belong to the same class, is a major research challenge for practical image set classification. Existing…
Discriminative Bayesian Dictionary Learning for Classification
Naveed Akhtar, Faisal Shafait, Ajmal Mian
We propose a Bayesian approach to learn discriminative dictionaries for sparse representation of data. The proposed approach infers probability distributions over the atoms of a di…