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ECCV
2010
Springer
13 years 6 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
HUC
2010
Springer
13 years 6 months ago
ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home
This paper presents ElectriSense, a new solution for automatically detecting and classifying the use of electronic devices in a home from a single point of sensing. ElectriSense r...
Sidhant Gupta, Matthew S. Reynolds, Shwetak N. Pat...
AUTOMATICA
2007
142views more  AUTOMATICA 2007»
13 years 6 months ago
Lyapunov-based switching control of nonlinear systems using high-gain observers
Abstract— We consider dynamic output feedback practical stabilization of uniformly observable nonlinear systems, based on high-gain observers with saturation. We assume that unce...
Leonid B. Freidovich, Hassan K. Khalil
COR
2008
99views more  COR 2008»
13 years 6 months ago
Genetic local search for multicast routing with pre-processing by logarithmic simulated annealing
Over the past few years, several local search algorithms have been proposed for various problems related to multicast routing in the off-line mode. We describe a population-based ...
Mohammed S. Zahrani, Martin J. Loomes, James A. Ma...
CORR
2010
Springer
180views Education» more  CORR 2010»
13 years 6 months ago
Dependability in Aggregation by Averaging
Abstract. Aggregation is an important building block of modern distributed applications, allowing the determination of meaningful properties (e.g. network size, total storage capac...
Paulo Jesus, Carlos Baquero, Paulo Sérgio A...