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NIPS
2007
13 years 6 months ago
Density Estimation under Independent Similarly Distributed Sampling Assumptions
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
Tony Jebara, Yingbo Song, Kapil Thadani
CSDA
2011
12 years 12 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
ICASSP
2011
IEEE
12 years 8 months ago
Polytope kernel density estimates on Delaunay graphs
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
Erhan Bas, Deniz Erdogmus
ANNPR
2006
Springer
13 years 8 months ago
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
Edmondo Trentin
JMLR
2006
103views more  JMLR 2006»
13 years 4 months ago
Pattern Recognition for Conditionally Independent Data
In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
Daniil Ryabko