Multi-view dimensionality reduction via subspace structure agreement
X Zhao, X Wang, H Wang - Multimedia Tools and Applications, 2017 - Springer
Many state-of-the-art biometric systems make use of high-dimensional features to represent
data samples, which often contain substantial amount of intra-class variation. In this paper …
data samples, which often contain substantial amount of intra-class variation. In this paper …
A deep neural network for audio-visual person recognition
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 …
visual biometrics. A common example is the DBN-DNN that uses the generative weights of …
Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier
Q Wang, H Lv, J Yue, E Mitchell - Neural Computing and Applications, 2017 - Springer
Multiview learning problem refers to the problem of learning a classifier from multiple view
data. In this data set, each data point is presented by multiple different views. In this paper …
data. In this data set, each data point is presented by multiple different views. In this paper …
A framework for speaker retrieval and identification through unsupervised learning
V de Abreu Campos, DCG Pedronette - Computer Speech & Language, 2019 - Elsevier
Speaker recognition is a task of remarkable relevance, with applications in diversified
domains. Recently, mainly due to the facilities in audio-visual content acquisition, the …
domains. Recently, mainly due to the facilities in audio-visual content acquisition, the …
Multi-view predictive latent space learning
J Yuan, K Gao, P Zhu, K Egiazarian - Pattern Recognition Letters, 2020 - Elsevier
In unsupervised circumstances, multi-view learning seeks a shared latent representation by
taking the consensus and complementary principles into account. However, most existing …
taking the consensus and complementary principles into account. However, most existing …
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization
Multimodal relational data analysis has become of increasing importance in recent years, for
exploring across different domains of data, such as images and their text tags obtained from …
exploring across different domains of data, such as images and their text tags obtained from …