141 citations · 243 across the 5 of their papers we have counts for
5 papers
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification
Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan +1
In this paper, we consider the problem of event classification with multi-variate time series data consisting of heterogeneous (continuous and categorical) variables. The complex t…
Comparative Study of Deep Learning Software Frameworks
Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott +1
Deep learning methods have resulted in significant performance improvements in several application domains and as such several software frameworks have been developed to facilitate…
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…