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» On Conditions for Linearity of Optimal Estimation
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IJCNN
2007
IEEE
15 years 4 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
NIPS
2003
14 years 11 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
ICIAR
2004
Springer
15 years 3 months ago
Real-Time Facial Feature Extraction by Cascaded Parameter Prediction and Image Optimization
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
Fei Zuo, Peter H. N. de With
IPMI
2005
Springer
15 years 10 months ago
Computational Elastography from Standard Ultrasound Image Sequences by Global Trust Region Optimization
Abstract. A new approach is proposed to estimate the spatial distribution of shear modulus of tissues in-vivo. An image sequence is acquired using a standard medical ultrasound sca...
Jan Kybic, Daniel Smutek
WSC
2007
15 years 8 days ago
Sequential sampling for solving stochastic programs
We develop a sequential sampling procedure for solving a class of stochastic programs. A sequence of feasible solutions, with at least one optimal limit point, is given as input t...
Güzin Bayraksan, David P. Morton