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» Learning from Highly Structured Data by Decomposition
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IJRR
2007
236views more  IJRR 2007»
15 years 4 months ago
Towards High-resolution Imaging from Underwater Vehicles
Large area mapping at high resolution underwater continues to be constrained by sensor-level environmental constraints and the mismatch between available navigation and sensor acc...
Hanumant Singh, Christopher N. Roman, Oscar Pizarr...
ETVC
2008
15 years 6 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
JSS
2007
115views more  JSS 2007»
15 years 4 months ago
A case study in re-engineering to enforce architectural control flow and data sharing
Without rigorous software development and maintenance, software tends to lose its original architectural structure and become difficult to understand and modify. ArchJava, a recen...
Marwan Abi-Antoun, Jonathan Aldrich, Wesley Coelho
HICSS
2005
IEEE
154views Biometrics» more  HICSS 2005»
15 years 10 months ago
Market Structure and the Predictability of Electricity System Line Flows: An Experimental Analysis
Robert Thomas has shown, using simulations of experimental results, that the power flow on any line in an electric network is linearly proportional to the total system load when t...
Nodir Adilov, Thomas Light, Richard E. Schuler, Wi...
ICEIS
2009
IEEE
15 years 11 months ago
Semi-supervised Information Extraction from Variable-length Web-page Lists
We propose two methods for constructing automated programs for extraction of information from a class of web pages that are very common and of high practical significance - varia...
Daniel Nikovski, Alan Esenther, Akihiro Baba