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» Nearest Neighbor Distributions and Noise Variance Estimation
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TIP
2008
154views more  TIP 2008»
13 years 5 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
MLCW
2005
Springer
13 years 11 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
CORR
2011
Springer
163views Education» more  CORR 2011»
13 years 11 days ago
On Conditions for Linearity of Optimal Estimation
—When is optimal estimation linear? It is well-known that, in the case of a Gaussian source contaminated with Gaussian noise, a linear estimator minimizes the mean square estimat...
Emrah Akyol, Kumar Viswanatha, Kenneth Rose
CVPR
2001
IEEE
14 years 7 months ago
Gait Recognition from Time-Normalized Joint-Angle Trajectories in the Walking Plane
This paper demonstrates gait recognition using only the trajectories of lower body joint angles projected into the walking plane. For this work, we begin with the position of 3D m...
Rawesak Tanawongsuwan, Aaron F. Bobick
ICIP
2008
IEEE
14 years 7 months ago
On the estimation of geodesic paths on sampled manifolds under random projections
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in highdimensional Euclidean spaces. We show that geodesic paths ...
Mona Mahmoudi, Pierre Vandergheynst, Matteo Sorci