Object classification by fusing SVMs and Gaussian mixtures
β Scribed by Thomas Deselaers; Georg Heigold; Hermann Ney
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 705 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract For a large data set with groups of repeated measurements, a mixture model of Gaussian process priors is proposed for modelling the heterogeneity among the different replications. A hybrid Markov chain MonteβCarlo (MCMC) algorithm is developed for the implementation of the model for reg
An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, pre-processing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and princi
Rolling bearings are common and vital elements in rotating machinery and vibration signal is a kind of effective mean to characterize the status of rolling bearing fault and its severity. In this paper, a novel method is introduced to realize classification of fault signal without extracting feature