Category: IEEE 2017

Optimal Symbiosis and Fair Scheduling in Shared Cache

Interactive Visual Discovering of Movement Patterns from Sparsely Sampled Geo-tagged Social Media Data Abstract Social media data with geotags can be used to track people’s movements in their daily lives. By providing both rich text and movement information, visual analysis on social media data can be both interesting and challenging. In contrast to traditional movement data, the sparseness and irregularity ofsocial media data increase the difficulty of extracting movement patterns. To facilitate the understanding of […]


Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition

Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition Abstract: In this paper, we propose a new low-rank and sparse representation model for moving object detection. The model preserves the natural space-time structure of video sequences by representing them as three-way tensors. Then, it operates the low-rank background and sparse foreground decomposition in the […]