18 citations · 74 across the 23 of their papers we have counts for
3 papers · 1 filter
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks
Nazreen P. M., Shantanu Chakrabartty, Chetan Singh Thakur
The new generation of machine learning processors have evolved from multi-core and parallel architectures that were designed to efficiently implement matrix-vector-multiplications…
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems
Oindrila Chatterjee, Shantanu Chakrabartty
Traditional energy-based learning models associate a single energy metric to each configuration of variables involved in the underlying optimization process. Such models associate…
Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines
P. Kumar, A. R. Nair, O. Chatterjee +4
This paper presents a novel framework for designing support vector machines (SVMs), which does not impose restriction on the SVM kernel to be positive-definite and allows the user…