no code implementations • 17 Apr 2024 • H. N. Mhaskar, S. Kitimoon, Raghu G. Raj
Motivated by a number of applications in signal processing, we study the following question.
no code implementations • 20 Feb 2024 • Carter Lyons, Raghu G. Raj, Margaret Cheney
In this paper, we develop novel generalization error bounds for a class of unrolled DNNs that are informed by a compound Gaussian prior.
1 code implementation • 28 Nov 2023 • Carter Lyons, Raghu G. Raj, Margaret Cheney
Incorporating prior information into inverse problems, e. g. via maximum-a-posteriori estimation, is an important technique for facilitating robust inverse problem solutions.
1 code implementation • IEEE Transactions on Signal Processing 2023 • Carter Lyons, Raghu G. Raj, Margaret Cheney
The first approach is an iterative algorithm that minimizes a regularized least squares objective function where the regularization is based on a compound Gaussian prior distribution.
no code implementations • 21 May 2022 • Jing Guo, Raghu G. Raj, David J. Love, Christopher G. Brinton
Moreover, we are interested in sparse sensor selection using a marginalized weighted kernel approach to improve network resource efficiency by disabling less reliable sensors with minimal effect on classification performance. To achieve our goals, we develop a multi-sensor online kernel scalar quantization (MSOKSQ) learning strategy that operates on the sensor outputs at the fusion center.
no code implementations • 19 May 2019 • Raghu G. Raj
We present a novel variation of online kernel machines in which we exploit a consensus based optimization mechanism to guide the evolution of decision functions drawn from a reproducing kernel Hilbert space, which efficiently models the observed stationary process.
no code implementations • 7 Jul 2017 • John McKay, Raghu G. Raj, Vishal Monga
The resulting algorithm, fast stochastic HB-MAP (fsHBMAP), takes dramatically fewer operations while retaining high reconstruction quality.
no code implementations • 26 Jun 2017 • John McKay, Vishal Monga, Raghu G. Raj
Sonar imaging has seen vast improvements over the last few decades due in part to advances in synthetic aperture Sonar (SAS).