most citedRepresentation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification

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cs.CV20152 cited

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…

cs.CV20151 cited

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…

cs.CV2014

Action Classification with Locality-constrained Linear Coding

Hossein Rahmani, Arif Mahmood, Du Huynh +1

We propose an action classification algorithm which uses Locality-constrained Linear Coding (LLC) to capture discriminative information of human body variations in each spatiotempo…

cs.CV20141 cited

HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition

Hossein Rahmani, Arif Mahmood, Du Q. Huynh +1

Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which change significantly with viewpoint. In co…

cs.CV20141 cited

Optimizing Auto-correlation for Fast Target Search in Large Search Space

Arif Mahmood, Ajmal Mian, Robyn Owens

In remote sensing image-blurring is induced by many sources such as atmospheric scatter, optical aberration, spatial and temporal sensor integration. The natural blurring can be ex…