Efficient binary embedding of categorical data using BinSketch
Sign Up to like & getrecommendations! Published in 2022 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-021-00815-y
Abstract: In this work, we present a dimensionality reduction algorithm, aka. sketching, for categorical datasets. Our proposed sketching algorithm Cabin constructs low-dimensional binary sketches from high-dimensional categorical vectors, and our distance estimation algorithm Cham computes a… read more here.
Keywords: embedding categorical; binary embedding; using binsketch; categorical data ... See more keywords
An Efficient Binary Convolutional Neural Network With Numerous Skip Connections for Fog Computing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3052105
Abstract: Fog computing is promising to solve the challenge caused by an extremely large amount of data on cloud computing. In this study, an efficient binary convolutional neural network with numerous skip connections (BNSC-Net) is proposed… read more here.
Keywords: efficient binary; binary convolutional; fog computing; bnsc net ... See more keywords
Highly Accurate and Energy Efficient Binary-Stochastic Multipliers for Fault-Tolerant Applications
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3210035
Abstract: Stochastic circuits use randomly distributed bitstreams to represent numbers, so leading to small areas and low power dissipation. However, it does not only result in a long latency and thus increases energy, but also reduces… read more here.
Keywords: stochastic multipliers; energy; highly accurate; efficient binary ... See more keywords