104 citations · 318 across the 24 of their papers we have counts for
5 papers · 1 filter
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification
Shuai Zheng, Feiping Nie, Chris Ding +1
Linear Discriminant Analysis (LDA) is a widely-used supervised dimensionality reduction method in computer vision and pattern recognition. In null space based LDA (NLDA), a well-kn…
A Closed Form Solution to Multi-View Low-Rank Regression
Shuai Zheng, Xiao Cai, Chris Ding +2
Real life data often includes information from different channels. For example, in computer vision, we can describe an image using different image features, such as pixel intensity…
Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding
Peng Li, Heng Huang
Neural network based approaches for sentence relation modeling automatically generate hidden matching features from raw sentence pairs. However, the quality of matching feature rep…
Clinical Information Extraction via Convolutional Neural Network
Peng Li, Heng Huang
We report an implementation of a clinical information extraction tool that leverages deep neural network to annotate event spans and their attributes from raw clinical notes and pa…
Non-Greedy L21-Norm Maximization for Principal Component Analysis
Feiping Nie, Heng Huang
Principal Component Analysis (PCA) is one of the most important unsupervised methods to handle high-dimensional data. However, due to the high computational complexity of its eigen…