SDM
2012
SIAM
12 years 1 months ago
2012
SIAM
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...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
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...
SAC
2012
ACM
12 years 7 months ago
2012
ACM
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...
EJASP
2010
13 years 6 months ago
2010
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...
Presentation
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
13 years 9 months ago
2010
IEEE
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...
IVC
2010
13 years 10 months ago
2010
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. ...
CSDA
2008
13 years 11 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
PRL
2002
13 years 11 months ago
2002
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...
INFORMATICALT
1998
13 years 11 months ago
1998
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...