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computationally efficient estimation algorithm

A Computationally Efficient Method for Polyphonic Pitch Estimation

A Computationally Efficient Method for Polyphonic Pitch Estimation

... 4.6. MIREX 2007 Results—Performance Comparison to Other State-of-the-Art Methods. In order to compare our technique with other state-of-the-art approaches, the new method was submitted to the multiple fundamental ...

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Computationally Efficient Estimation of Non-stationary Gaussian Process Models for Large Spatial Data.

Computationally Efficient Estimation of Non-stationary Gaussian Process Models for Large Spatial Data.

... In this dissertation, we described new computational methods for two non-stationary Gaussian process models in the case of large spatial data. We describe an algorithm to estimate partitions of the domain that ...

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Computationally Efficient and Robust BIC-Based Speaker Segmentation

Computationally Efficient and Robust BIC-Based Speaker Segmentation

... In this paper, an unsupervised, BIC-based system for speaker segmentation is proposed. The first contribution of the paper is in modeling the distribution of the duration of speaker utterances. More specifically, the ...

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Robust and Computationally Efficient Signal-Dependent Method for Joint DOA and Frequency Estimation

Robust and Computationally Efficient Signal-Dependent Method for Joint DOA and Frequency Estimation

... parameter estimation with a priori knowledge, such as the waveform of the desired signal and the steering vector of the array (or the main beam pattern of the antenna), has been well ...DOA estimation with ...

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Computationally Efficient Transductive Machines

Computationally Efficient Transductive Machines

... an algorithm which gives both confidence and credibility values for its predictions, on a multi-class pattern recognition ...proposed algorithm, whilst retaining a comparable level of ...the ...

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Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS)

Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS)

... novel algorithm and its fast implementation in our R package, GUTS, that help to overcome these ...uncertainty estimation as well as making probabilistic predictions and validating the model with new ...

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Computationally-efficient visual inertial odometry for autonomous vehicle

Computationally-efficient visual inertial odometry for autonomous vehicle

... proposed algorithm (CKF), UKF and EKF with Root Mean Square Error of position (RMSE) and rotation error ...better estimation accuracy than the UKF in VIO ...the estimation accuracy relative to ...CKF ...

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Computationally Efficient Direction-of-Arrival Estimation Based on Partial A Priori Knowledge of Signal Sources

Computationally Efficient Direction-of-Arrival Estimation Based on Partial A Priori Knowledge of Signal Sources

... a computationally efficient method for DOA estimation, based on partial a priori knowl- edge of signal ...is computationally attractive and can be used in the case of small samples where the array ...

7

A Computationally Efficient Mel Filter Bank VAD Algorithm for Distributed Speech Recognition Systems

A Computationally Efficient Mel Filter Bank VAD Algorithm for Distributed Speech Recognition Systems

... We can conclude from the results obtained for the G.723.1 VAD, that the VAD used for this standard is very e ff ective for the SNRs 5 dB, 0 dB, and − 5 dB. This is due to the fact that this VAD does not properly ...

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Computationally Efficient DOA and Polarization Estimation of Coherent Sources with Linear Electromagnetic Vector-Sensor Array

Computationally Efficient DOA and Polarization Estimation of Coherent Sources with Linear Electromagnetic Vector-Sensor Array

... parameter estimation of coherent ...(EVSA) algorithm is developed. Then the EVSA algorithm is coupled with the propagator method (PM) [24, 25] to estimate parameters of the coherent sources without ...

10

Employing a Monte Carlo algorithm in Newton-type methods for restricted maximum likelihood estimation of genetic parameters

Employing a Monte Carlo algorithm in Newton-type methods for restricted maximum likelihood estimation of genetic parameters

... is computationally efficient for large data sets and complex linear mixed effects ...an efficient Newton-type method utilizing a MC ...MC algorithm with Newton-type methods proved feasible and ...

8

Computationally Efficient M Estimation of Log Linear Structure Models

Computationally Efficient M Estimation of Log Linear Structure Models

... We see M-estimation as a particularly promising method in settings where performance depends on high-dimensional, highly-correlated feature spaces, where the desired features “large,” making discrimi- native ...

8

DBSCAN: Optimal Rates For Density-Based Cluster Estimation

DBSCAN: Optimal Rates For Density-Based Cluster Estimation

... optimal estimation of the density cluster tree under vari- ous smoothness assumptions on the underlying ...tree estimation under H¨ older smooth densities of arbitrary ...a computationally ...

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Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation

Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation

... more computationally efficient so- lution for the problem of broadband direction finding in the context of uniform linear ...MUSIC algorithm, especially for searches on few evaluated frequency ...

5

A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables

A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables

... the estimation of Þxed effects models as a poten- tially attractive alternative solution to the initial conditions ...problem. Estimation of a Þxed effects model obviates the need to incorporate pre-sample ...

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A computationally efficient nonparametric approach for changepoint detection

A computationally efficient nonparametric approach for changepoint detection

... The rest of this paper is organised as follows. In Section 2 we give details of the NMCD approach proposed by Zou et al. (2014). In Section 3 we introduce our new efficient nonpara- metric search approach, ...

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Computationally efficient changepoint detection for a range of penalties

Computationally efficient changepoint detection for a range of penalties

... up Algorithm 1 by recycling some of the calculations for example if in the situation where we use ...PELT algorithm we calculate and store the minimum penalised cost, the number of changepoints in this ...

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Computationally Efficient Power Allocation Algorithm in Multicarrier-Based Cognitive Radio Networks: OFDM and FBMC Systems

Computationally Efficient Power Allocation Algorithm in Multicarrier-Based Cognitive Radio Networks: OFDM and FBMC Systems

... proposed algorithm utilizes the spectrum holes in PUs bands as well as active PU ...proposed algorithm is investigated for OFDM and FBMC based CR ...allocation algorithm with low computational ...

13

A computationally efficient procedure for data envelopment analysis

A computationally efficient procedure for data envelopment analysis

... In 2005, the Value for Money (VfM) unit of the Department for Education and Skills (DfES)1 commissioned my supervisor, Professor Gautam Appa, to develop procedures for speeding up computation o f DEA models for large ...

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Vol 15, No 3 (2015)

Vol 15, No 3 (2015)

... For the nonlinear flight dynamic analysis and flight controller design, hundreds of linearised aircraft mathematical models are required. Aircraft trim is obtained by using the conventional numerical optimization ...

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