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» Semi-Supervised Novelty Detection
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NIPS
2001
14 years 11 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
ICCCN
2008
IEEE
15 years 4 months ago
Multi-Modal Target Tracking Using Heterogeneous Sensor Networks
Abstract— The paper describes a target tracking system running on a Heterogeneous Sensor Network (HSN) and presents results gathered from a realistic deployment. The system fuses...
Manish Kushwaha, Isaac Amundson, Péter V&ou...
ICRA
2006
IEEE
276views Robotics» more  ICRA 2006»
15 years 3 months ago
Feature Extraction from Laser Scan Data based on Curvature Estimation for Mobile Robotics
— This paper presents a geometrical feature detection system to use with conventional 2D laser rangefinders. This system consists of three main modules: data acquisition and pre...
Pedro Núñez, Ricardo Vázquez ...
AI
2009
Springer
15 years 4 months ago
Automatic Frame Extraction from Sentences
We present a method for automatic extraction of frames from .a dependency graph. Our method uses machine learning applied to a dependency tree to assign frames and assign frame ele...
Martin Scaiano, Diana Inkpen
86
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CDC
2008
IEEE
206views Control Systems» more  CDC 2008»
15 years 4 months ago
Coverage control for mobile networks with limited-range anisotropic sensors
Abstract— In this paper the coverage control for mobile sensor networks is studied. The novelty is to consider an anisotropic sensor model where the performance of the sensor dep...
Azwirman Gusrialdi, Takeshi Hatanaka, Masayuki Fuj...