141 citations · 174 across the 10 of their papers we have counts for
10 papers
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems
Yiwei Fu, Samer Saab, Asok Ray +1
This work proposes a novel neural network architecture, called the Dynamically Controlled Recurrent Neural Network (DCRNN), specifically designed to model dynamical systems that ar…
State Space Representations of Deep Neural Networks
Michael Hauser, Sean Gunn, Samer Saab +1
This paper deals with neural networks as dynamical systems governed by differential or difference equations. It shows that the introduction of skip connections into network archite…
Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data
Devesh K Jha, Nurali Virani, Jan Reimann +2
This paper presents a technique for reduced-order Markov modeling for compact representation of time-series data. In this work, symbolic dynamics-based tools have been used to infe…
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification
Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray +1
Dictionary learning algorithms have been successfully used in both reconstructive and discriminative tasks, where the input signal is represented by a linear combination of a few d…
Multimodal Task-Driven Dictionary Learning for Image Classification
Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray +1
Dictionary learning algorithms have been successfully used for both reconstructive and discriminative tasks, where an input signal is represented with a sparse linear combination o…
Quality-based Multimodal Classification Using Tree-Structured Sparsity
Soheil Bahrampour, Asok Ray, Nasser M. Nasrabadi +1
Recent studies have demonstrated advantages of information fusion based on sparsity models for multimodal classification. Among several sparsity models, tree-structured sparsity pr…