67 citations · 238 across the 29 of their papers we have counts for
6 papers · 1 filter
Kernel Sparse Models for Automated Tumor Segmentation
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan +3
In this paper, we propose sparse coding-based approaches for segmentation of tumor regions from MR images. Sparse coding with data-adapted dictionaries has been successfully employ…
Recovering Non-negative and Combined Sparse Representations
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias
The non-negative solution to an underdetermined linear system can be uniquely recovered sometimes, even without imposing any additional sparsity constraints. In this paper, we deri…
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
In complex visual recognition tasks it is typical to adopt multiple descriptors, that describe different aspects of the images, for obtaining an improved recognition performance. D…
Learning Stable Multilevel Dictionaries for Sparse Representations
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
Sparse representations using learned dictionaries are being increasingly used with success in several data processing and machine learning applications. The availability of abundan…
Ensemble Sparse Models for Image Analysis
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri +1
Sparse representations with learned dictionaries have been successful in several image analysis applications. In this paper, we propose and analyze the framework of ensemble sparse…
Non-Linear Distributed Average Consensus using Bounded Transmissions
Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh Banavar +1
A distributed average consensus algorithm in which every sensor transmits with bounded peak power is proposed. In the presence of communication noise, it is shown that the nodes re…