Object detection and tracking in videos represent essential computationally demanding building blocks for current future visual perception systems. In order to reduce the efficiency gap between available methods computational requirements of real-world applications, we propose re-think one most successful image object detection, Faster R-CNN, extend it video domain. Specifically, framework lear...

<span>Online event detection (OED) has seen a rise in the research community as it can provide quick identification of possible events happening at times world. Through these systems, potential be indicated well before they are reported by news media, grouping similar documents shared over social media users. Most OED systems use textual similarities for this purpose. Similar documents, t...

A programming contest generally involves the host presenting a set of logical and mathematical problems to contestants. The contestants are required write computer programs that capable solving these problems. An online judge system is used automate judging procedure submitted by users. Online judges systems designed for reliable evaluation source codes Traditional platforms not ideally suitabl...

This paper presents a novel online learning-based fault detection designed for underwater robotic thruster health monitoring. In the algorithm, we build mathematical model between control variable and propeller speed by fitting collected work status data to model. To improve accuracy of modeling, multi-center PSO algorithm with memory ability is utilized optimize modeling parameters. Additional...

With the rise of internet facilities, a greater number people have started doing online transactions at an exponential rate in recent years as transaction system has eliminated need going to bank physically for every transaction. However, fraud cases also increased causing loss money consumers. Hence, effective detection is hour which can detect fraudulent automatically real-time. Generally, ge...