Using Laplacian eigenmaps latent variable model and manifold learning to improve speech recognition accuracy

A Jafari, F Almasganj - Speech Communication, 2010 - Elsevier
This paper demonstrates the application of the Laplacian eigenmaps latent variable model
(LELVM) to the task of speech recognition. LELVM is a new dimension reduction method …

[引用][C] 面向众核多级访存资源的静态数据布局优化模型

刘勇, 刘丽, 何王全 - 计算机应用与软件, 2011

[引用][C] 一种基于人工神经网络的快速超分辨率方法

刘广明, 安然, 陆伟 - 计算机应用与软件, 2011