107 citations · 126 across the 3 of their papers we have counts for
3 papers
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features
Naveen Sai Madiraju, Seid M. Sadat, Dimitry Fisher +1
Unsupervised learning of time series data, also known as temporal clustering, is a challenging problem in machine learning. Here we propose a novel algorithm, Deep Temporal Cluster…
Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback
Micah Richert, Dimitry Fisher, Filip Piekniewski +2
There has been great progress in understanding of anatomical and functional microcircuitry of the primate cortex. However, the fundamental principles of cortical computation - the…
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski, Patryk Laurent, Csaba Petre +3
Understanding visual reality involves acquiring common-sense knowledge about countless regularities in the visual world, e.g., how illumination alters the appearance of objects in…