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» Solving Sparse Linear Constraints
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IMCSIT
2010
14 years 8 months ago
Efficient Portfolio Optimization with Conditional Value at Risk
The portfolio optimization problem is modeled as a mean-risk bicriteria optimization problem where the expected return is maximized and some (scalar) risk measure is minimized. In ...
Wlodzimierz Ogryczak, Tomasz Sliwinski
ECCV
2006
Springer
16 years 2 days ago
Self-calibration of a General Radially Symmetric Distortion Model
Abstract. We present a new approach for self-calibrating the distortion function and the distortion center of cameras with general radially symmetric distortion. In contrast to mos...
Jean-Philippe Tardif, Peter F. Sturm, Sébas...
ICPR
2008
IEEE
15 years 11 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
MOBIHOC
2004
ACM
15 years 9 months ago
Rate allocation in wireless sensor networks with network lifetime requirement
An important performance consideration for wireless sensor networks is the amount of information collected by all the nodes in the network over the course of network lifetime. Sin...
Yiwei Thomas Hou, Yi Shi, Hanif D. Sherali
66
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COMPGEOM
2009
ACM
15 years 4 months ago
Embedding rivers in polyhedral terrains
Data conflation is a major issue in GIS: spatial data obtained from different sources, using different acquisition techniques, needs to be combined into one single consistent d...
Marc J. van Kreveld, Rodrigo I. Silveira