Search Results for author:
Found 4 papers, 0 papers with code
Unsupervised Driving Behavior Analysis using Representation Learning and Exploiting Group-based Training
Consistent groups aid in identifying variations in driving patterns of individuals captured in the dataset.
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training
Time-series generated by end-users, edge devices, and different wearables are mostly unlabelled.
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis
Proposed algorithm aims to address the large computing time issue of hierarchical clustering as learned latent representation AECS has a length much less than the original length of time-series and at the same time want to enhance its performance. Our algorithm exploits Recurrent Neural Network (RNN) based under complete Sequence to Sequence(seq2seq) autoencoder and agglomerative hierarchical clustering with a choice of best distance measure to recommend the best clustering.
Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks
In this article, we propose a novel technique for classification of the Murmurs in heart sound.
