219 citations · 904 across the 50 of their papers we have counts for
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Dense Multimodal Fusion for Hierarchically Joint Representation
Di Hu, Feiping Nie, Xuelong Li
Multiple modalities can provide more valuable information than single one by describing the same contents in various ways. Hence, it is highly expected to learn effective joint rep…
Deep LDA Hashing
Di Hu, Feiping Nie, Xuelong Li
The conventional supervised hashing methods based on classification do not entirely meet the requirements of hashing technique, but Linear Discriminant Analysis (LDA) does. In this…
Low Rank Regularization: A Review
Zhanxuan Hu, Feiping Nie, Rong Wang +1
Low rank regularization, in essence, involves introducing a low rank or approximately low rank assumption for matrix we aim to learn, which has achieved great success in many field…
Deep Multimodal Clustering for Unsupervised Audiovisual Learning
Di Hu, Feiping Nie, Xuelong Li
The seen birds twitter, the running cars accompany with noise, etc. These naturally audiovisual correspondences provide the possibilities to explore and understand the outside worl…
Regularized Singular Value Decomposition and Application to Recommender System
Shuai Zheng, Chris Ding, Feiping Nie
Singular value decomposition (SVD) is the mathematical basis of principal component analysis (PCA). Together, SVD and PCA are one of the most widely used mathematical formalism/dec…
Ranking with Adaptive Neighbors
Muge Li, Liangyue Li, Feiping Nie
Retrieving the most similar objects in a large-scale database for a given query is a fundamental building block in many application domains, ranging from web searches, visual, cros…