Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Abstract—We present an efficient and robust stepping-stone detection scheme based on succinct packet-timing sketches of network flows. The proposed scheme employs an online alg...
Manycore processors with wide SIMD cores are becoming a popular choice for the next generation of throughput oriented architectures. We introduce a hardware technique called “di...
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain...