no code implementations • 8 Mar 2016 • Umamahesh Srinivas
Designing image classification algorithms that exhibit robustness to acquisition noise and image distortions, particularly when the available training data are insufficient to learn accurate models, is a significant challenge.
no code implementations • 30 Jan 2015 • Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, Trac. D. Tran
Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC).
no code implementations • 8 Jun 2014 • Yuanming Suo, Minh Dao, Umamahesh Srinivas, Vishal Monga, Trac. D. Tran
Sparsity driven signal processing has gained tremendous popularity in the last decade.
no code implementations • 8 Nov 2011 • Yi Chen, Umamahesh Srinivas, Thong T. Do, Vishal Monga, Trac. D. Tran
We propose a probabilistic graphical model framework to explicitly mine the conditional dependencies between these distinct sparse local features.