6 citations · 9 across the 3 of their papers we have counts for
4 papers
Optimizing Kernel Machines using Deep Learning
Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri +1
Building highly non-linear and non-parametric models is central to several state-of-the-art machine learning systems. Kernel methods form an important class of techniques that indu…
Undergraduate Signal Processing Laboratories for the Android Operating System
Suhas Ranganath, JJ Thiagarajan, KN Ramamurthy +3
We present a DSP simulation environment that will enable students to perform laboratory exercises using Android mobile devices and tablets. Due to the pervasive nature of the mobil…
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…
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…