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Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020
The Interpretable Dictionary in Sparse Coding
Edward Kim, Connor Onweller, Andrew O'Brien +1
Artificial neural networks (ANNs), specifically deep learning networks, have often been labeled as black boxes due to the fact that the internal representation of the data is not e…
cs.LG2020★ 22 cited
SplitEasy: A Practical Approach for Training ML models on Mobile Devices
Kamalesh Palanisamy, Vivek Khimani, Moin Hussain Moti +1
Modern mobile devices, although resourceful, cannot train state-of-the-art machine learning models without the assistance of servers, which require access to, potentially, privacy-…
cs.LG2020★ 1 cited
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case
Cong Ye, Konstantinos Slavakis, Pratik V. Patil +3
This paper introduces a clustering framework for networks with nodes annotated with time-series data. The framework addresses all types of network-clustering problems: State cluste…