activity
20092026
most citedMeta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

398 citations · 2k across the 69 of their papers we have counts for

collaborators
Showing 2015Show all

9 papers · 1 filter

cs.CV2015★ 12 cited

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition

Huibin Li, Jian Sun, Dong Wang +2

In this paper, we present a novel approach to automatic 3D Facial Expression Recognition (FER) based on deep representation of facial 3D geometric and 2D photometric attributes. A…

math.OC2015★ 8 cited

Sparse Index Tracking Based On Model And Algorithm

Fengmin Xu, Zongben Xu, Honggang Xue

Recently, regularization have been attracted extensive attention and successfully applied in mean-variance portfolio selection for promoting out-of-sample properties and decr…

math.OC2015★ 1 cited

An Efficient Optimization Approach for a Cardinality-Constrained Index Tracking Problem

Fengmin Xu, Zhaosong Lu, Zongben Xu

In the practical business environment, portfolio managers often face business-driven requirements that limit the number of constituents in their tracking portfolio. A natural index…

cs.IR2015★ 5 cited

Re-scale AdaBoost for Attack Detection in Collaborative Filtering Recommender Systems

Zhihai Yang, Lin Xu, Zhongmin Cai

Collaborative filtering recommender systems (CFRSs) are the key components of successful e-commerce systems. Actually, CFRSs are highly vulnerable to attacks since its openness. Ho…

cs.LG2015

Shrinkage degree in -re-scale boosting for regression

Lin Xu, Shaobo Lin, Yao Wang +1

Re-scale boosting (RBoosting) is a variant of boosting which can essentially improve the generalization performance of boosting learning. The key feature of RBoosting lies in intro…

cs.CV2015★ 96 cited

Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal

Jian Sun, Wenfei Cao, Zongben Xu +1

In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image. We propose a deep learning approach to predicting the probabili…

cs.LG2015

Model selection of polynomial kernel regression

Shaobo Lin, Xingping Sun, Zongben Xu +1

Polynomial kernel regression is one of the standard and state-of-the-art learning strategies. However, as is well known, the choices of the degree of polynomial kernel and the regu…

cs.CV2015★ 174 cited

Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements

Wenfei Cao, Yao Wang, Jian Sun +4

Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing and 3D modeling.…

cs.CV2015

Video Primal Sketch: A Unified Middle-Level Representation for Video

Zhi Han, Zongben Xu, Song-Chun Zhu

This paper presents a middle-level video representation named Video Primal Sketch (VPS), which integrates two regimes of models: i) sparse coding model using static or moving primi…