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149
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NIPS
2008
15 years 5 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
148
Voted
PR
2006
164views more  PR 2006»
15 years 3 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
148
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DEXAW
2006
IEEE
153views Database» more  DEXAW 2006»
15 years 9 months ago
Capturing and Using the Operational Semantics of Large Distributed Systems: Sharing Common Application Requirements in Virtual O
Organisations may wish to use a standards-defined distributed system in a global sense but also have a requirement for non-standard local behaviour. This reflects the production...
Nickolas J. G. Falkner, Paul D. Coddington, Andrew...
158
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CPHYSICS
2006
182views more  CPHYSICS 2006»
15 years 3 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
172
Voted
IBPRIA
2005
Springer
15 years 9 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...