The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
In the past decade, significant progress has been achieved in developing generic primal heuristics that made their way into commercial mixed integer programming (MIP) solver. Exte...
C. Joncour, S. Michel, R. Sadykov, D. Sverdlov, Fr...
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
Abstract. Image matting and segmentation are two closely related topics that concern extracting the foreground and background of an image. While the methods based on global optimiz...
The recent multi/many-core CPUs or GPUs have provided an ideal parallel computing platform to accelerate the timeconsuming analysis of radio-frequency/millimeter-wave (RF/ MM) int...
Xuexin Liu, Hao Yu, Jacob Relles, Sheldon X.-D. Ta...