no code implementations • 3 Mar 2016 • Jiasong Wu, Shijie Qiu, Youyong Kong, Longyu Jiang, Lotfi Senhadji, Huazhong Shu
The principal component analysis network (PCANet), which is one of the recently proposed deep learning architectures, achieves the state-of-the-art classification accuracy in various databases.
no code implementations • 20 Dec 2015 • Dan Wu, Jiasong Wu, Rui Zeng, Longyu Jiang, Lotfi Senhadji, Huazhong Shu
In order to classify the nonlinear feature with linear classifier and improve the classification accuracy, a deep learning network named kernel principal component analysis network (KPCANet) is proposed.
no code implementations • 24 Jul 2014 • Jiasong Wu, Longyu Jiang, Xu Han, Lotfi Senhadji, Huazhong Shu
Texture plays an important role in many image analysis applications.