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» On Local Bandwidth Selection for Density Estimation
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IJCNN
2007
IEEE
14 years 2 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
APNOMS
2006
Springer
14 years 8 days ago
Rate-Based and Gap-Based Available Bandwidth Estimation Techniques in Cross-Traffic Context
Recent years have seen an increasing interest in end-to-end available bandwidth estimation. A number of estimation techniques and tools have been developed during the last few year...
Wayman Tan, Marat Zhanikeev, Yoshiaki Tanaka
NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 7 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
CSDA
2011
13 years 3 months ago
Functional density synchronization
Estimating an overall density function from repeated observations on each of a sample of independent subjects or experimental units is of interest. An example is provided by biodem...
Zhen Zhang, Hans-Georg Müller
ECCV
2002
Springer
14 years 10 months ago
Multimodal Data Representations with Parameterized Local Structures
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...