3 papers
cs.CV2019
Embedding of FRPN in CNN architecture
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli +1
This paper extends the fully recursive perceptron network (FRPN) model for vectorial inputs to include deep convolutional neural networks (CNNs) which can accept multi-dimensional…
cs.LG2018
A Family of Maximum Margin Criterion for Adaptive Learning
Miao Cheng, Zunren Liu, Hongwei Zou +1
In recent years, pattern analysis plays an important role in data mining and recognition, and many variants have been proposed to handle complicated scenarios. In the literature, i…
cs.CV2018
CRH: A Simple Benchmark Approach to Continuous Hashing
Miao Cheng, Ah Chung Tsoi
In recent years, the distinctive advancement of handling huge data promotes the evolution of ubiquitous computing and analysis technologies. With the constantly upward system burde…