2 citations · 2 across the 4 of their papers we have counts for
6 papers
Data Discovery Using Lossless Compression-Based Sparse Representation
Elyas Sabeti, Peter X. K. Song, Alfred O. Hero
Sparse representation has been widely used in data compression, signal and image denoising, dimensionality reduction and computer vision. While overcomplete dictionaries are requir…
Pattern-Based Analysis of Time Series: Estimation
Elyas Sabeti, Peter X. K. Song, Alfred O. Hero
While Internet of Things (IoT) devices and sensors create continuous streams of information, Big Data infrastructures are deemed to handle the influx of data in real-time. One type…
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network
Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti +4
Automating classification and segmentation process of abnormal regions in different body organs has a crucial role in most of medical imaging applications such as funduscopy, endos…
Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method
Elyas Sabeti, Anders Høst-Madsen
Heart rate variability (HRV) is a vital measure of the autonomic nervous system functionality and a key indicator of cardiovascular condition. This paper proposes a novel method, c…
Data Discovery and Anomaly Detection Using Atypicality: Signal Processing Methods
Elyas Sabeti, Anders Høst-Madsen
The aim of atypicality is to extract small, rare, unusual and interesting pieces out of big data. This complements statistics about typical data to give insight into data. In order…
Data Discovery and Anomaly Detection Using Atypicality: Theory
Anders Høst-Madsen, Elyas Sabeti, Chad Walton
A central question in the era of 'big data' is what to do with the enormous amount of information. One possibility is to characterize it through statistics, e.g., averages, or clas…