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» Geometric constraint satisfaction using optimization methods
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176
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ICCV
2011
IEEE
14 years 6 months ago
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Human motion capturing (HMC) from multiview image sequences constitutes an extremely difficult problem due to depth and orientation ambiguities and the high dimensionality of the s...
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laur...
153
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JMLR
2012
13 years 4 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
128
Voted
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 3 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
EUROGP
2000
Springer
177views Optimization» more  EUROGP 2000»
15 years 6 months ago
Register Based Genetic Programming on FPGA Computing Platforms
The use of FPGA based custom computing platforms is proposed for implementing linearly structured Genetic Programs. Such a context enables consideration of micro architectural and ...
Malcolm I. Heywood, A. Nur Zincir-Heywood
CSDA
2008
56views more  CSDA 2008»
15 years 2 months ago
Robust designs for series estimation
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
Holger Dette, Douglas P. Wiens