Gaussian mixture model

Xem 1-7 trên 7 kết quả Gaussian mixture model
  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Model-Selection-Based Self-Splitting Gaussian Mixture Learning with Application to Speaker Identification

    pdf14p sting12 11-03-2012 30 1   Download

  • In the Wireless Local Area Network (WLAN), due to the unexpected operation of equipments and the changing of surround environment, the dropping and multi-component problems might present in the observed data. Dropping refers to the fact that occasionally Received Signal Strength Indication (RSSI) measurements of Wi-Fi access points (AP) are not available, although their value is clearly above the limited sensitivity of Wi-Fi sensors on portable devices.

    pdf10p visumika2711 17-07-2019 15 0   Download

  • We analyse the mathematical structure of portfolio credit risk models with particular regard to the modelling of dependence between default events in these models. We explore the role of copulas in latent variable models (the approach that underlies KMV and CreditMetrics) and use non-Gaussian copulas to present extensions to standard industry models. We explore the role of the mixing distribution in Bernoulli mixture models (the approach underlying CreditRisk+) and derive large portfolio approximations for the loss distribution.

    pdf27p enter1cai 12-01-2013 36 3   Download

  • This paper presents an unsupervised word sense learning algorithm, which induces senses of target word by grouping its occurrences into a “natural” number of clusters based on the similarity of their contexts. For removing noisy words in feature set, feature selection is conducted by optimizing a cluster validation criterion subject to some constraint in an unsupervised manner. Gaussian mixture model and Minimum Description Length criterion are used to estimate cluster structure and cluster number. ...

    pdf8p bunbo_1 17-04-2013 31 1   Download

  • The experiment result for the dialect corpus of Vietnamese shows that the performance of dialectal identification with baseline increases from 58.6% for the case using only MFCC coefficients to 70.8% for the case using MFCC coefficients and the information of fundamental frequency. By combining the formants and their bandwidths with the normalized F0 according to average and standard deviation F0, the best recognition rate is 72.2%.

    pdf12p thuyliebe 04-10-2018 10 0   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Scale Mixture of Gaussian Modelling of Polarimetric SAR Data

    pdf12p dauphong15 18-02-2012 32 2   Download

  • Bayesian Estimation Theory: Basic Definitions Bayesian Estimation The Estimate–Maximise Method Cramer–Rao Bound on the Minimum Estimator Variance Design of Mixture Gaussian Models Bayesian Classification Modeling the Space of a Random Process Summary B ayesian estimation is a framework for the formulation of statistical inference problems. In the prediction or estimation of a random process from a related observation signal, the Bayesian philosophy is based on combining the evidence contained in the signal with prior knowledge of the probability distribution of the process.

    pdf54p khinhkha 30-07-2010 56 7   Download



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