5 citations · 5 across the 3 of their papers we have counts for
4 papers
Generative Sensing: Transforming Unreliable Sensor Data for Reliable Recognition
Lina Karam, Tejas Borkar, Yu Cao +1
This paper introduces a deep learning enabled generative sensing framework which integrates low-end sensors with computational intelligence to attain a high recognition accuracy on…
Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations
Shihui Yin, Shreyas K. Venkataramanaiah, Gregory K. Chen +4
We present a new back propagation based training algorithm for discrete-time spiking neural networks (SNN). Inspired by recent deep learning algorithms on binarized neural networks…
Reducing the Model Order of Deep Neural Networks Using Information Theory
Ming Tu, Visar Berisha, Yu Cao +1
Deep neural networks are typically represented by a much larger number of parameters than shallow models, making them prohibitive for small footprint devices. Recent research shows…
Optimization of Analytic Window Functions
Yu Cao, Chee-Yong Chan, Jie Li +1
Analytic functions represent the state-of-the-art way of performing complex data analysis within a single SQL statement. In particular, an important class of analytic functions tha…