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» Invariances in kernel methods: From samples to objects
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NIPS
2001
13 years 10 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter
ISNN
2009
Springer
14 years 3 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo
CORR
2010
Springer
140views Education» more  CORR 2010»
13 years 9 months ago
Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals
In this paper, we consider the problem of estimating finite rate of innovation (FRI) signals from noisy measurements, and specifically analyze the interaction between FRI technique...
Zvika Ben-Haim, Tomer Michaeli, Yonina C. Eldar
ICIP
2009
IEEE
14 years 10 months ago
Parking Space Detection From Video By Augmenting Training Dataset
Auto parking techniques are attracting more attention these days. In this paper, we develop an image-based method to estimate the depth contour in parking areas. Our algorithm is ...
MICCAI
2000
Springer
14 years 17 days ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...