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IROS
2007
IEEE
179views Robotics» more  IROS 2007»
15 years 10 months ago
Incremental learning for place recognition in dynamic environments
Abstract— Vision-based place recognition is a desirable feature for an autonomous mobile system. In order to work in realistic scenarios, visual recognition algorithms should be ...
Jie Luo, Andrzej Pronobis, Barbara Caputo, Patric ...
HICSS
2003
IEEE
107views Biometrics» more  HICSS 2003»
15 years 9 months ago
Leveraging Mobile Technology for m-Learning: 3rd Generation Threaded Discussions
Emerging mobile technologies hold great promise for educational institutions seeking to extend the learning experience to an increasingly nomadic and timechallenged student commun...
Timothy R. Hill
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 8 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 8 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
NIPS
2003
15 years 5 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...