In this paper, we propose a method for smoke detection in outdoor video sequences. We assume that the camera is mounted on a pan/tilt device. The proposed method is composed of th...
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
—In network-on-chip, computing worst-case delay bound for packet delivery is crucial for designing predictable systems but yet an intractable problem due to complicated resource ...
This paper presents a theoretical and experimental study on the limitations of copy-on-write snapshots and incremental backups in terms of data recoverability. We provide mathemat...
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...