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In classification tasks, labeled data is a necessity but sometimes difficult or expensive to obtain. On the contrary, unlabeled data is usually abundant. Recently, different active learning algorithms are proposed to alleviate this issue by selecting the most informative data points to label. One family of active learning methods comes from Optimum Experimental Design (OED) in statistics. Instead...
The deterministic replay technology usually is used to reproduce non-deterministic failures, especially the concurrency failures which are hard to debug with cyclic-debugging techniques. Previous techniques either incur large overhead or require custom hardware extensions. They have also suffered from the interference with irrelevant processes. This paper introduces WDRVirt, a new software based replay...
Object tracking using vision technology is one of the key but complex functions in navigation system of Intelligent Vehicles; it became more difficult in case of there are partial occlusions and significant clutter. A mean shift embedded approach is presents for vehicle tracking under real road scenes. The HSI model and orientation histogram are used to represent the object feature; the mean shift...
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