80 citations · 345 across the 29 of their papers we have counts for
4 papers · 1 filter
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval
Qi Qian, Inci M. Baytas, Rong Jin +2
We study the problem of similarity learning and its application to image retrieval with large-scale data. The similarity between pairs of images can be measured by the distances be…
Towards Making High Dimensional Distance Metric Learning Practical
Qi Qian, Rong Jin, Lijun Zhang +1
In this work, we study distance metric learning (DML) for high dimensional data. A typical approach for DML with high dimensional data is to perform the dimensionality reduction fi…
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Tianbao Yang, Lijun Zhang, Rong Jin +1
In this paper, we consider the problem of column subset selection. We present a novel analysis of the spectral norm reconstruction for a simple randomized algorithm and establish a…
Theory of Dual-sparse Regularized Randomized Reduction
Tianbao Yang, Lijun Zhang, Rong Jin +1
In this paper, we study randomized reduction methods, which reduce high-dimensional features into low-dimensional space by randomized methods (e.g., random projection, random hashi…