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CVPR
2010
IEEE
16 years 2 months ago
Online Multiple Instance Learning with No Regret
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...
Li Mu, James Kwok, Lu Bao-liang
ACSAC
2009
IEEE
16 years 1 months ago
Online Sketching of Network Flows for Real-Time Stepping-Stone Detection
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...
Baris Coskun, Nasir D. Memon
SC
2009
ACM
16 years 1 months ago
Increasing memory miss tolerance for SIMD cores
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...
David Tarjan, Jiayuan Meng, Kevin Skadron
ICDCN
2009
Springer
16 years 1 months ago
Tracking Dynamics Using Sensor Networks: Some Recurring Themes
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...
Krithi Ramamritham
CRV
2009
IEEE
206views Robotics» more  CRV 2009»
16 years 1 months ago
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
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...
Philippe Giguère, Gregory Dudek, Chris Prah...