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ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 6 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
PRL
1998
132views more  PRL 1998»
15 years 6 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
JAIHC
2010
205views more  JAIHC 2010»
15 years 5 months ago
Soft computing in intrusion detection: the state of the art
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
Chet Langin, Shahram Rahimi
OIR
2011
401views Neural Networks» more  OIR 2011»
14 years 9 months ago
Using Online Collaborative Tools for Groups to Co-Construct Knowledge
(limit 250 words) Purpose This paper reports and describes the use of MediaWiki and Google Docs at undergraduate level as online collaboration tools for co-constructing knowledge i...
Sam Kai Wah Chu, David M. Kennedy
ECCV
2004
Springer
16 years 8 months ago
A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks
This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Iasonas Kokkinos, Rachid Deriche, Petros Maragos, ...