May 30, 2018 · This paper presents a novel incremental-precision classification approach that leads to a reduction in energy consumption of linear ...

ABSTRACT. This paper presents a novel incremental-precision classification ap- proach that leads to a reduction in energy consumption of linear classifiers ...

This paper presents a novel incremental-precision classification approach that leads to a reduction in energy consumption of linear classifiers for IoT ...

Low-Energy Architectures of Linear Classifiers for IoT Applications using Incremental Precision and Multi-Level Classification-conference_proceeding.

Dive into the research topics of 'Low-Energy architectures of linear classifiers for IoT applications using incremental precision and multi-Level classification ...

Low-Energy Architectures of Linear Classifiers for IoT Applications using Incremental Precision and Multi-Level Classification · Sandhya KoteshwaraK. Parhi.

This proposal addresses techniques to reduce energy consumption in feature extraction and classification. ... The proposed framework computes features and ...

Low-energy architectures of linear classifiers for IoT applications using incremental precision and multi-level classification. S Koteshwara, KK Parhi.

This paper presents a novel incremental-precision classification approach that leads to a reduction in energy consumption of linear classifiers for IoT ...

The proposed incremental-precision-based multi-level classification approach can reduce energy consumption by 35% while maintaining high sensitivity, ...