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» On Conditions for Linearity of Optimal Estimation
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IJCNN
2007
IEEE
16 years 19 days 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
15 years 7 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 11 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
16 years 7 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 months 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