61 citations · 71 across the 5 of their papers we have counts for
5 papers
Text Flow: A Unified Text Detection System in Natural Scene Images
Shangxuan Tian, Yifeng Pan, Chang Huang +3
The prevalent scene text detection approach follows four sequential steps comprising character candidate detection, false character candidate removal, text line extraction, and tex…
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning
Krishnakumar Balasubramanian, Kai Yu, Tong Zhang
Joint sparsity regularization in multi-task learning has attracted much attention in recent years. The traditional convex formulation employs the group Lasso relaxation to achieve…
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
Chang Huang, Shenghuo Zhu, Kai Yu
Learning Mahanalobis distance metrics in a high- dimensional feature space is very difficult especially when structural sparsity and low rank are enforced to improve com- putationa…
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
We propose and analyze a novel framework for learning sparse representations, based on two statistical techniques: kernel smoothing and marginal regression. The proposed approach p…
High Dimensional Nonlinear Learning using Local Coordinate Coding
Kai Yu, Tong Zhang
This paper introduces a new method for semi-supervised learning on high dimensional nonlinear manifolds, which includes a phase of unsupervised basis learning and a phase of superv…