We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
We describe a mid-level approach for action recognition. From an input video, we extract salient spatio-temporal structures by forming clusters of trajectories that serve as candi...
—A computationally efficient optimal discrete bit allocation algorithm is proposed for medium and high target bit rate discrete multitone (DMT) transmissions. Unlike conventional...
Li-ping Zhu, Xiaofeng Zhong, Yan Yao, Shi-wei Dong...
Discrete optimization problemsarise throughout many real world domainsincluding planning, decision making, and search. NP-hardin general, these problems require novel approachesto...