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IJCNN
2006
IEEE
15 years 8 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
15 years 8 months ago
Replanning with uncertainty in position: Sensor updates vs. prior map updates
— This paper presents two new approaches to planning with uncertainty in position that achieve better performance than existing techniques and that are able to incorporate change...
Juan Pablo Gonzalez, Anthony Stentz
PERCOM
2010
ACM
14 years 9 months ago
Local map generation using position and communication history of mobile nodes
In this paper, we propose an algorithm to estimate 2D shapes and positions of obstacles such as buildings using GPS and wireless communication history of mobile nodes. Our algorith...
Shinichi Minamimoto, Sae Fujii, Hirozumi Yamaguchi...
130
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GLOBECOM
2007
IEEE
15 years 8 months ago
Position Estimation Error in Edge Detection for Wireless Sensor Networks using Local Convex View
Abstract—Intuitively, identification of nodes close to the network edge is key to the successful setup, and continued operation, of many sensor network protocols and application...
Marwan Fayed, Hussein T. Mouftah
IBPRIA
2007
Springer
15 years 8 months ago
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
Arnau Oliver, Xavier Lladó, Joan Mart&iacut...