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statistics based recognition methods

Studies on Automatic Recognition of Common Chinese Adverb’s usages Based on Statistics Methods

Studies on Automatic Recognition of Common Chinese Adverb’s usages Based on Statistics Methods

... CRF, ME and SVM are the outstanding statistical models in machine learning. CRF can well consider the mutual influence be- tween usage marks, and overcomes the prob- lem of marker offset. This is good for some rare usage ...

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3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS

3D FACE RECOGNITION USING LOCAL FEATURE BASED METHODS

... (EID) based on the sparse representation of low-level geometric information is proposed, where a pooling and ranking scheme is employed to select higher ranked ...Triangle Statistics (KMTS) (Section ...

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MULTICLASS PATTERN RECOGNITION OF THE GLEASON SCORE OF PROSTATIC CARCINOMAS USING METHODS OF SPATIAL STATISTICS

MULTICLASS PATTERN RECOGNITION OF THE GLEASON SCORE OF PROSTATIC CARCINOMAS USING METHODS OF SPATIAL STATISTICS

... spatial statistics, and to predict this score from such ...analysis based on principles of spatial ...pattern recognition, as opposed to the usual problem of binary pattern ...

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Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

... For recognition process, probabilistic LDA method is used in several kinds of ...speaker recognition models like universal background model (UBM) and Gaussian mixture model (GMM) gives suitable result for ...

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Cyclostationarity Inducing Transmission Methods for Recognition among OFDM Based Systems

Cyclostationarity Inducing Transmission Methods for Recognition among OFDM Based Systems

... transmission methods that enable the receiver to distinguish among multiple secondary systems that use OFDM as a common air ...are based on higher-order ...

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PERFORMANCE EVALUATION OF PRINTED CHARACTER RECOGNITION SYSTEM

PERFORMANCE EVALUATION OF PRINTED CHARACTER RECOGNITION SYSTEM

... Character recognition (OCR) contributes to this progress by providing techniques to convert large volumes of data ...claiming recognition rates very high. The claimed recognition rates gives the ...

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Independent component analysis (ICA) applied to ultrasound image processing and tissue characterization

Independent component analysis (ICA) applied to ultrasound image processing and tissue characterization

... statistics methods, without making use of any a priori assumptions about tissue histol- ogy but merely using methods developed in the general fields of image analysis, have also shown some ...order ...

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Biological assets reporting: Is the increase in value caused by the biological transformation revenue?

Biological assets reporting: Is the increase in value caused by the biological transformation revenue?

... is based on a presumption that the fair value is determinable for all biological ...possible methods of measurement of biological assets are in conformity with the IAS 41 makes an impediment of the ...

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The Gateway to VoIP World

The Gateway to VoIP World

... SIM Cloud is centralized SIM card management system which is based on the newest cloud communication technologies. Ready-To-Deploy, customer needn’t setup extra hardware server, and easy to start with SIM Cloud. ...

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(Game Based) Student Response Systems Engage Students with Research Teaching  Nexus Activities and Support Their Skills Development

(Game Based) Student Response Systems Engage Students with Research Teaching Nexus Activities and Support Their Skills Development

... higher statistics scores (Karpiak, ...research methods and statistics based on collaborative problem-based learning but they did not study the influence of technology on students’ views ...

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A Review of Object Recognition and Localization Methods with SIFT based Approach

A Review of Object Recognition and Localization Methods with SIFT based Approach

... The proposed approach can meet all these challenges by proposing a feature-based segmentation technique i.e. SIFT able to segment multiple occluded objects. Moreover, this has been a very active area of research ...

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MATCHING SKETCHES USING COMBINE LFDA AND INTERACTIVE EVOLUTIONARY MODEL FOR FORENSIC SCIENCE

MATCHING SKETCHES USING COMBINE LFDA AND INTERACTIVE EVOLUTIONARY MODEL FOR FORENSIC SCIENCE

... To handle the combination of a large feature size and small sample size, linear discriminant classifiers called LFDA is proposed. LFDA is designed in such way with combination working with feature descriptor, and which ...

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Deep learning methods for biometric recognition based on eye information

Deep learning methods for biometric recognition based on eye information

... Med biometričnimi modalnostmi (recimo prstni odtis, obraz, mrežnica, način hoje) ša- renica po mnogih kriterijih [1] velja za eno izmed najbolj primernih modalnosti, saj na njeni podlagi lahko z računalniškimi sistemi ...

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Optimal control of fermentation processes

Optimal control of fermentation processes

... According to Volesky and Votruba 1992; these methods can be divided into: i linear and non-linear regreSSIOn: based on conventional methods of mathematical statistics, ii momentum analys[r] ...

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Misleading and misreading of graphs in research

Misleading and misreading of graphs in research

... Statistical methods plays vital role in collecting, presenting, interpreting the data from research point of ...using statistics at every stage of the research, it is very important to take care of ...

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Landslide susceptibility mapping using logistic regression analysis in Latyan catchment

Landslide susceptibility mapping using logistic regression analysis in Latyan catchment

... emphasized the importance of land use on slope stability. The effecting factor of distance from river, road and fault currently has been used successfully (Pourghasemi et al., 2013a).The influence of plan curvature on ...

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DWT and LPC based feature extraction methods for isolated word recognition

DWT and LPC based feature extraction methods for isolated word recognition

... performance based on the feature dimension, we also considered the 21 coefficients in LPCC and MFCC feature vectors (7 LPC/MFCC coeffi- cients and their first and second ...

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A Review on Neural Network based Noise Robust Speech Recognition Methods

A Review on Neural Network based Noise Robust Speech Recognition Methods

... speech recognition applications [8]. The author presented a model based on LSTM which is trained ...feature based adjustments are also proposed to integrate the proposed model with ASR back ...

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A novel approach for animal recognition by using various recognition methods based on enhanced hybrid classifier technique

A novel approach for animal recognition by using various recognition methods based on enhanced hybrid classifier technique

... The main goal of this paper is to present an independent, comparative study of three most popular image recognition algorithms in completely equal working conditions. They are: Principal Component Analysis (PCA), ...

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DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition

DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition

... speech recognition using a combination of discrete wavelet transform (DWT) and mel Frequency Cepstral Coefficients ...Coefficients based method for features ...proposed methods for ...

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