Linear regression-based classifier for audio visual person identification

MR Alam, R Togneri, F Sohel… - … Processing, and their …, 2013 - ieeexplore.ieee.org
This paper presents an audio visual (AV) person identification system using Linear
Regression-based Classifier (LRC) for person identification. Class specific models are …

A deep neural network for audio-visual person recognition

MR Alam, M Bennamoun, R Togneri… - 2015 IEEE 7th …, 2015 - ieeexplore.ieee.org
This paper presents applications of special types of deep neural networks (DNNs) for audio-
visual biometrics. A common example is the DBN-DNN that uses the generative weights of …

Weighted score based fast converging CO-training with application to audio-visual person identification

X Duan, NB Thomsen, ZH Tan… - 2017 IEEE 29th …, 2017 - ieeexplore.ieee.org
One potential problem in real classification applications is that the amount of labeled training
data is insufficient since it is usually time-consuming to label data manually. When multiple …

Open-set semi-supervised audio-visual speaker recognition using co-training LDA and Sparse Representation Classifiers

X Zhao, N Evans, JL Dugelay - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
Semi-supervised learning is attracting growing interest within the biometrics community.
Almost all prior work focuses on closed-set scenarios, in which samples labelled …

Improving the convergence of co-training for audio-visual person identification

NB Thomsen, X Duan, ZH Tan - 2016 First International …, 2016 - ieeexplore.ieee.org
Person identification is a very important task for intelligent devices when communicating or
interacting with humans. A potential problem in real applications is that the amount of …

[引用][C] 路径聚类融合USTU 的自适应多通道生物特征识别研究

张国平, 黄淼, 马丽, 赵桂钦 - 计算机应用研究, 2015