no code implementations • 21 Oct 2015 • Yao Zhai, Qifei Wang, Yan Lu, Shipeng Li
This paper proposes an efficient content adaptive screen image scaling scheme for the real-time screen applications like remote desktop and screen sharing.
no code implementations • 5 Jan 2015 • Jianfeng Wang, Shuicheng Yan, Yi Yang, Mohan S. Kankanhalli, Shipeng Li, Jingdong Wang
We study how to learn multiple dictionaries from a dataset, and approximate any data point by the sum of the codewords each chosen from the corresponding dictionary.
no code implementations • 16 May 2014 • Jianfeng Wang, Jingdong Wang, Jingkuan Song, Xin-Shun Xu, Heng Tao Shen, Shipeng Li
In OCKM, multiple sub codewords are used to encode the subvector of a data point in a subspace.
no code implementations • 11 Dec 2013 • Jingdong Wang, Jing Wang, Gang Zeng, Rui Gan, Shipeng Li, Baining Guo
This structure augments the neighborhood graph with a bridge graph.
no code implementations • 11 Dec 2013 • Jingdong Wang, Jing Wang, Qifa Ke, Gang Zeng, Shipeng Li
Traditional $k$-means is an iterative algorithm---in each iteration new cluster centers are computed and each data point is re-assigned to its nearest center.
no code implementations • 30 Jul 2013 • Jingdong Wang, Jing Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li
The $k$-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to construct $k$-NN graphs remains a challenge, especially for large-scale high-dimensional data.
no code implementations • 30 Jul 2013 • Jingdong Wang, Hao Xu, Xian-Sheng Hua, Shipeng Li
We formulate this problem as finding a few image exemplars to represent the image set semantically and visually, and solve it in a hybrid way by exploiting both visual and textual information associated with images.
no code implementations • CVPR 2013 • Peng Wang, Jingdong Wang, Gang Zeng, Weiwei Xu, Hongbin Zha, Shipeng Li
In visual recognition tasks, the design of low level image feature representation is fundamental.