نتایج جستجو برای: روش gmm

تعداد نتایج: 374490  

Journal: :Journal of rehabilitation research and development 2002
Karen L Perell Scott Gregor Gene Kim Sirintorn Rushatakankovit Erika Scremin Seymour Levin Robert Gregor

We compared recumbent bicycle kinetics in diabetic peripheral neuropathy and nondiabetic men (nine per group). 3D kinematic and force pedal data in a linked-segment model were used. The generalized muscle moment (GMM) patterns were similar between the two groups except for (1) decreased maximum knee flexor moment, (2) increased minimum knee flexor GMM, and (3) maximum hip extensor GMM by the di...

2013
Tin Lay Nwe Trung Hieu Nguyen Dilip Kumar Limbu

Emotion classification is essential for understanding human interactions and hence is an important module in HumanComputer Interaction (HCI) systems. Well-performed emotion classification systems have potential to integrate into the HCI systems to provide additional user state details. This paper presents an emotion classification system that employs Emotional Dissimilarity (ED) measure. Instea...

2003
F. Cardinaux C. Sanderson

We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comparison is carried out in terms of performance, robustness and practicability. Apart from structural differences, the two approaches use different training criteria; the MLP approach uses a discriminative criterion, wh...

2008
Yongwook Bryce Kim Polina Golland Terry P. Orlando

Data-driven analysis methods, such as independent component analysis (ICA) and clustering, have found a fruitful application in the analysis of functional magnetic resonance imaging (fMRI) data for identifying functionally connected brain networks. Unlike the traditional regression-based hypothesis-driven analysis methods, the principal advantage of data-driven methods is their applicability to...

2005
Ximing Wu Jeffrey M. Perloff

We develop a generalized method of moments (GMM) estimator for the distribution of a variable where summary statistics are available only for intervals of the random variable. Without individual data, one cannot calculate the weighting matrix for the GMM estimator. Instead, we propose a simulated weighting matrix based on a first-step consistent estimate. When the functional form of the underly...

Journal: :CoRR 2015
Mathieu Fauvel Clement Dechesne Anthony Zullo Frédéric Ferraty

A fast forward feature selection algorithm is presented in this paper. It is based on a Gaussian mixture model (GMM) classifier. GMM are used for classifying hyperspectral images. The algorithm selects iteratively spectral features that maximizes an estimation of the classification rate. The estimation is done using the k-fold cross validation. In order to perform fast in terms of computing tim...

2003
Yining Chen Min Chu Eric Chang Jia Liu Runsheng Liu

In most state-of-the-art voice conversion systems, speech quality of converted utterances is still unsatisfactory. In this paper, STRAIGHT analysis-synthesis framework is used to improve the quality. A smoothed GMM and MAP adaptation is proposed for spectrum conversion to avoid the overly smooth phenomenon in the traditional GMM method. Since frames are processed independently, the GMM based tr...

2007
Xi Yang Man-Hung Siu Herbert Gish Brian Kan-Wing Mak

In this paper, we adopt the boosting framework to improve the performance of acoustic-based Gaussian mixture model (GMM) Language Identification (LID) systems. We introduce a set of low-complexity, boosted target and anti-models that are estimated from training data to improve class separation, and these models are integrated during the LID backend process. This results in a fast estimation pro...

2004
Eric G. Hansen Raymond E. Slyh Timothy R. Anderson

This paper compares three approaches to building phoneme-specific Gaussian mixture model (GMM) speaker recognition systems on the NIST 2003 Extended Data Evaluation to a baseline GMM system covering all of the phonemes. The individual performance of any given phoneme-specific GMM system falls below the performance of the baseline GMM, but fusing the top 40 performing scores of the individual ph...

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