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The Ninth Annual Machine Learning for Signal Processing (MLSP) Data Competition Committee has hosted a bird classification challenge at Kaggle.com (http://www.kaggle.com/c/mlsp-2013-birds). For this year's competition, participants were asked to develop classification algorithms to reliably identify the set of bird species in real-world audio data collected(More)
Birds have been widely used as biological indicators for ecological research. They respond quickly to environmental changes and can be used to infer about other organisms (e.g., insects they feed on). Traditional methods for collecting data about birds involves costly human effort. A promising alternative is acoustic monitoring. There are many advantages to(More)
It is a significant challenge to detect a transparent object using conventional visual sensors. In this paper, we show that the characteristics of transparent objects under different lighting conditions (normal light and laser light) can be exploited for improved detection accuracy. The authors analyzed the object characteristics and found a novel method(More)
This paper proposes virtualized WiFi network that can dynamically create a virtual Base Station (vBS) around the target mobile devices that offers dedicated base station resources for satisfying service-specific QoS and works as a gateway for a corresponding virtual network or slice. Specifically, the paper proposes (1) a technique to dynamically configure(More)
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