Andreas Spanias | DeepAI

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Featured Co-authors

Karthikeyan Natesan Ramamurthy
46 publications
Prasanna Sattigeri
44 publications
Jayaraman J. Thiagarajan
44 publications
Alfred O. Hero
42 publications
Pavan Turaga
37 publications
Visar Berisha
23 publications
Suren Jayasuriya
20 publications
Jongmin Lee
16 publications
Xue Zhang
12 publications
Deepta Rajan
11 publications
Cihan Tepedelenlioglu
9 publications

∙ 08/01/2023

An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images

We propose an accurate and fast classification network for classificatio...

0 Grace Billingsley, et al. ∙

∙ 11/21/2022

Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques

Mixed reality (MR) is a key technology which promises to change the futu...

18 David Ramirez, et al. ∙

∙ 12/17/2021

Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation

There is tremendous scope for improving the energy efficiency of embedde...

6 Odrika Iqbal, et al. ∙

∙ 11/24/2019

Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning

Exploiting known semantic relationships between fine-grained tasks is cr...

40 Sameeksha Katoch, et al. ∙

∙ 04/20/2019

Analysis and Design of Robust Max Consensus for Wireless Sensor Networks

A novel distributed algorithm for estimating the maximum of the node ini...

0 Gowtham Muniraju, et al. ∙

∙ 04/08/2019

Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets

Modern audio source separation techniques rely on optimizing sequence mo...

0 Vivek Sivaraman Narayanaswamy, et al. ∙

∙ 11/02/2018

Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading

In this paper, localization using narrowband communication signals are c...

0 Xue Zhang, et al. ∙

∙ 11/01/2018

Designing an Effective Metric Learning Pipeline for Speaker Diarization

State-of-the-art speaker diarization systems utilize knowledge from exte...

0 Vivek Sivaraman Narayanaswamy, et al. ∙

∙ 11/01/2018

Improving Robustness of Attention Models on Graphs

Machine learning models that can exploit the inherent structure in data ...

0 Uday Shankar Shanthamallu, et al. ∙

∙ 10/02/2018

Attention Models with Random Features for Multi-layered Graph Embeddings

Modern data analysis pipelines are becoming increasingly complex due to ...

0 Uday Shankar Shanthamallu, et al. ∙

∙ 08/04/2018

Triplet Network with Attention for Speaker Diarization

In automatic speech processing systems, speaker diarization is a crucial...

0 Huan Song, et al. ∙

∙ 05/01/2018

Consensus-based Distributed Quantile Estimation in Sensor Networks

A quantile is defined as a value below which random draws from a given d...

0 Jongmin Lee, et al. ∙

∙ 11/15/2017

Optimizing Kernel Machines using Deep Learning

Building highly non-linear and non-parametric models is central to sever...

0 Huan Song, et al. ∙

∙ 11/10/2017

Attend and Diagnose: Clinical Time Series Analysis using Attention Models

With widespread adoption of electronic health records, there is an incre...

0 Huan Song, et al. ∙

∙ 02/21/2017

Direct estimation of density functionals using a polynomial basis

A number of fundamental quantities in statistical signal processing and ...

0 Alan Wisler, et al. ∙

∙ 12/28/2016

A Deep Learning Approach To Multiple Kernel Fusion

Kernel fusion is a popular and effective approach for combining multiple...

0 Huan Song, et al. ∙

∙ 12/19/2014

Empirically Estimable Classification Bounds Based on a New Divergence Measure

Information divergence functions play a critical role in statistics and ...

0 Visar Berisha, et al. ∙

∙ 03/12/2013

Recovering Non-negative and Combined Sparse Representations

The non-negative solution to an underdetermined linear system can be uni...

0 Karthikeyan Natesan Ramamurthy, et al. ∙

∙ 03/03/2013

Learning Stable Multilevel Dictionaries for Sparse Representations

Sparse representations using learned dictionaries are being increasingly...

0 Jayaraman J. Thiagarajan, et al. ∙

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