Search Results for author: Sara Bahaadini

Found 6 papers, 1 papers with code

Semi-supervised Deep Representation Learning for Multi-View Problems

no code implementations11 Nov 2018 Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu

While neural networks for learning representation of multi-view data have been previously proposed as one of the state-of-the-art multi-view dimension reduction techniques, how to make the representation discriminative with only a small amount of labeled data is not well-studied.

Dimensionality Reduction Learning Representation Of Multi-View Data

DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data

no code implementations7 May 2018 Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos

In this paper, benefiting from the strong ability of deep neural network in estimating non-linear functions, we propose a discriminative embedding function to be used as a feature extractor for clustering tasks.

Deep Multi-view Models for Glitch Classification

no code implementations28 Apr 2017 Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos

Non-cosmic, non-Gaussian disturbances known as "glitches", show up in gravitational-wave data of the Advanced Laser Interferometer Gravitational-wave Observatory, or aLIGO.

Classification General Classification +1

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