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IJCNN
2006
IEEE
16 years 7 days 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
AVSS
2003
IEEE
15 years 11 months ago
A Multi-Camera Conical Imaging System for Robust 3D Motion Estimation, Positioning and Mapping from UAVs
Over the last decade, there has been an increasing interest in developing vision systems and technologies that support the operation of unmanned platforms for positioning, mapping...
Pezhman Firoozfam, Shahriar Negahdaripour
CVPR
2006
IEEE
16 years 8 months ago
Structure from Motion with Known Camera Positions
The wide availability of GPS sensors is changing the landscape in the applications of structure from motion techniques for localization. In this paper, we study the problem of est...
Rodrigo L. Carceroni, Ankita Kumar, Kostas Daniili...
CHI
2001
ACM
16 years 6 months ago
Robust annotation positioning in digital documents
Increasingly, documents exist primarily in digital form. System designers have recently focused on making it easier to read digital documents, with annotation as an important new ...
A. J. Bernheim Brush, David Bargeron, Anoop Gupta,...
RECOMB
2006
Springer
16 years 6 months ago
Inferring Positional Homologs with Common Intervals of Sequences
Inferring orthologous and paralogous genes is an important problem in whole genomes comparisons, both for functional or evolutionary studies. In this paper, we introduce a new appr...
Guillaume Blin, Annie Chateau, Cedric Chauve, Yann...