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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
9 years 8 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
CVPR
2012
IEEE
9 years 8 months ago
Bag of textons for image segmentation via soft clustering and convex shift
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...
Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu
SAC
2012
ACM
10 years 1 months ago
Local bandwidth selectors for deconvolution kernel density estimation
We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...
Achilleas Achilleos, Aurore Delaigle
EJASP
2010
133views more  EJASP 2010»
11 years 14 days ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...

Presentation
896views
11 years 3 months ago
Exponential families and simplification of mixture models
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
CVPR
2010
IEEE
11 years 3 months ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
IVC
2010
128views more  IVC 2010»
11 years 4 months ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis
CSDA
2008
94views more  CSDA 2008»
11 years 5 months ago
Feature significance for multivariate kernel density estimation
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
Tarn Duong, Arianna Cowling, Inge Koch, M. P. Wand
PRL
2002
106views more  PRL 2002»
11 years 5 months ago
Kernel density estimation with adaptive varying window size
A new method of kernel density estimation with a varying adaptive window size is proposed. It is based on the socalled intersection of confidence intervals (ICI) rule. Several exa...
Vladimir Katkovnik, Ilya Shmulevich
INFORMATICALT
1998
126views more  INFORMATICALT 1998»
11 years 5 months ago
On Local Bandwidth Selection for Density Estimation
This article gives ideas for developing statistics software which can work without user intervention. Some popular methods of bandwidth selection for kernel density estimation (the...
Rimantas Rudzkis, Mindaugas Kavaliauskas
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