Sciweavers

251 search results - page 5 / 51
» A Greedy EM Algorithm for Gaussian Mixture Learning
Sort
View
TNN
2008
90views more  TNN 2008»
13 years 7 months ago
Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks
Abstract--This paper presents a distributed expectation
Dongbing Gu
ICTAI
2010
IEEE
13 years 4 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
IJIT
2004
13 years 8 months ago
An Evaluation of Algorithms for Single-Echo Biosonar Target Classification
A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are...
Turgay Temel, John Hallam
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 5 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
ALT
2003
Springer
14 years 4 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang