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20132024
most citedEnsemble Sparse Models for Image Analysis

6 citations · 20 across the 12 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.IT2018

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

Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar +2

In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are…

stat.ML2018

Designing an Effective Metric Learning Pipeline for Speaker Diarization

Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song +1

State-of-the-art speaker diarization systems utilize knowledge from external data, in the form of a pre-trained distance metric, to effectively determine relative speaker identitie…

cs.LG2018

A Regularized Attention Mechanism for Graph Attention Networks

Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias

Machine learning models that can exploit the inherent structure in data have gained prominence. In particular, there is a surge in deep learning solutions for graph-structured data…

stat.ML2018

GrAMME: Semi-Supervised Learning using Multi-layered Graph Attention Models

Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song +1

Modern data analysis pipelines are becoming increasingly complex due to the presence of multi-view information sources. While graphs are effective in modeling complex relationships…

cs.LG2018

Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization

Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan +3

Sampling one or more effective solutions from large search spaces is a recurring idea in machine learning, and sequential optimization has become a popular solution. Typical exampl…

eess.AS2018

Triplet Network with Attention for Speaker Diarization

Huan Song, Megan Willi, Jayaraman J. Thiagarajan +2

In automatic speech processing systems, speaker diarization is a crucial front-end component to separate segments from different speakers. Inspired by the recent success of deep ne…