Ashwinkumar Ganesan | DeepAI

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∙ 09/05/2021

Learning with Holographic Reduced Representations

Holographic Reduced Representations (HRR) are a method for performing sy...

0 Ashwinkumar Ganesan, et al. ∙

∙ 06/30/2021

Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment

We propose a Bi-Directional Manifold Alignment (BDMA) that learns a non-...

0 Ashwinkumar Ganesan, et al. ∙

∙ 04/07/2020

Locality Preserving Loss to Align Vector Spaces

We present a locality preserving loss (LPL)that improves the alignment b...

0 Ashwinkumar Ganesan, et al. ∙

∙ 09/12/2019

Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter

Denial of Service (DoS) attacks are common in on-line and mobile service...

0 Chi Zhang, et al. ∙

∙ 03/28/2019

Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning

Evolving cybersecurity threats are a persistent challenge for systemadmi...

0 Ashwinkumar Ganesan, et al. ∙

∙ 08/01/2018

Cognitive Techniques for Early Detection of Cybersecurity Events

The early detection of cybersecurity events such as attacks is challengi...

0 Sandeep Narayanan, et al. ∙

∙ 07/31/2017

Fashioning with Networks: Neural Style Transfer to Design Clothes

Convolutional Neural Networks have been highly successful in performing ...

0 Prutha Date, et al. ∙

∙ 06/13/2017

Identifying Spatial Relations in Images using Convolutional Neural Networks

Traditional approaches to building a large scale knowledge graph have us...

0 Mandar Haldekar, et al. ∙

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