27 citations · 32 across the 3 of their papers we have counts for
5 papers
Compositional Coding for Collaborative Filtering
Chenghao Liu, Tao Lu, Xin Wang +3
Efficiency is crucial to the online recommender systems. Representing users and items as binary vectors for Collaborative Filtering (CF) can achieve fast user-item affinity computa…
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo, Quang Pham, Jing Lu +1
Deep Neural Networks (DNNs) are typically trained by backpropagation in a batch learning setting, which requires the entire training data to be made available prior to the learning…
Face Detection using Deep Learning: An Improved Faster RCNN Approach
Xudong Sun, Pengcheng Wu, Steven C. H. Hoi
In this report, we present a new face detection scheme using deep learning and achieve the state-of-the-art detection performance on the well-known FDDB face detetion benchmark eva…
Online Bayesian Collaborative Topic Regression
Chenghao Liu, Tao Jin, Steven C. H. Hoi +2
Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix factorization (PMF) and topic modeling (e.g., LDA) for recommender systems, which has gained increasing…
Scalable Image Retrieval by Sparse Product Quantization
Qingqun Ning, Jianke Zhu, Zhiyuan Zhong +2
Fast Approximate Nearest Neighbor (ANN) search technique for high-dimensional feature indexing and retrieval is the crux of large-scale image retrieval. A recent promising techniqu…