NDLI: Nonlinear Nuisance Attribute Projection in Combined Kernels for SVM-Based Speaker Verification

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Preface - Volume 2

Organizing Committee - Volume 2

Program Committee - Volume 2

Reviewers - Volume 2

Analysis of Global Asymptotically Robust Stability about Delayed Cellular Neural Network

Evolving Cellular Automata - Based Flexible Job Shop Scheduling

Image Contour Extraction Based on CNN and Active Contour Model

Periodic Oscillation for Cohen-Grossberg-Type Bidirectional Associative Memory Neural Networks with Neutral Time-Varying Delays

Taiwan's Telecommunications Market Share with a Dynamic Evolutionary Simulation Model Paper

An Adaptive Multi-user Detection Algorithm Based on Forward Neural Network

Application of NN-PID Control in Linear Elevator

Classification of Underwater Objects Based on Probabilistic Neural Network

Electric Heating Cable Fault Locating System Based on Neural Network

Extended Luenberger Observer Based on Dynamic Neural Network for Inertia Identification in PMSM Servo System

Gas/Liquid Two-Phase Flow Regime Recognition by Combining the Features of Shannon's Entropy with the Improved Elman Network

GPS/DR Navigation Data Fusion Research Using Neural Network

Judging Smelting End-Point of Fuming Furnace Using Tertiary Tuyere Flame

MRF Energy Minimization for Unsupervised Image Segmentation

Optimization and Analysis of Deformable Mirror Supporting Structure

Prediction of Stand Diameter Distribution with Artificial Neural Network

The Neural Network Proportion Integral Differential Controller and the Application on Mill Hydraulic Pressure Automatic Gauge Control System

A Bayesian Approach to Improving Decision Making in Support Vector Machine and its Application in Bioinformatics

A Linear Discrimination Method Used in Motor Imagery EEG Classification

A New Segmentation Method of SAR Image Based on Multi-polarization information Fusion

A Proteome Characteristic Pattern of Unstable Angina was Found by Two-Dimensional Difference Gel Electrophoresis and Least Angle Regression

An Evolving Neural Network for Authentic Emotion Classification

An Improved CSP Algorithm and Application in Motor Imagery Recognition

Application of Artificial Neural Network Model Established by Tumor Markers and Bronchofibroscopic Data in Auxiliary Diagnosis of Lung Cancer

Binary Neural Classifier of Raw EEG Data to Separate Spike and Sharp Wave of the Eye Blink Artifact

Detection of Lung Cancer with Breath Biomarkers Based on SVM Regression

Feature Extraction and Classification of Mental EEG for Motor Imagery

Feature-Based Causal Structure Discovery in Protein and Gene Expression Data with Bayesian Network

Gesture Recognition System Based on Acceleration Data for Robocup Referees

Image Computing: Fractional Spectra and Circular Moments via FrFT

Modeling and Prediction in the Enzymatic Hydrolysis of Cellulose Using Artificial Neural Networks

Obtaining Virtual and Realistic Images and Facial Characters from Robot Using Neural Networks

Predicting Protein Structural Class Based on Ensemble Binary Classification

Real Time Face Detection and Recognition Using Rectangular Feature Based Classifier and Modified Matching Algorithm

Support Vector Machine (SVM) and Traditional Chinese Medicine: Syndrome Factors Based an SVM from Coronary Heart Disease Treated by Prominent Traditional Chinese Medicine Doctors

Using Parallel Combined Classifiers to Improve Classification of Proteins

A Novel Hypothesis-Margin Based Method Incorporating Minimal-Redundancy Criterion for Feature Selection

Automatic Inspection of Small Component on Loaded PCB Based on Mean-Shift and Support Vector Machine

Coal Mine Safety Investment Prediction Based on Support Vector Machine

Condition Monitoring and Faults Recognizing of Dish Centrifugal Separator by Artifical Neural Network Combined with Expert System

Degradation Failure Prediction from Coil Current Signals of Electromagnetic Valves in Coal Mining Based on Neural Network

Fault Diagnosis of Power Electronic Circuit Based on Random Forests Algorithm

Gas-Water Two-Phase Flow Regime Recognition with Data and Feature Fusion from a Dual-Plane ERT System

Neural Network Modeling for Bio-enzymatic Degumming on Kenaf

Neural Networks and TEO Features for an Automatic Recognition of Stress in Spontaneous Speech

Non-invasive Assessment of Fish Freshness with Bio-impedance and BP-ANN Method

Nonlinear Nuisance Attribute Projection in Combined Kernels for SVM-Based Speaker Verification

On Modeling of Atmospheric Visibility Classification Forecast with Nonlinear Support Vector Machine

Research on Magnetic Flux Leakage Signals Quantity Technology of Tank Floor Corrosion Defects Based on Artificial Neural Network

SAR Image Segmentation Using Contourlet and Support Vector Machine

Semi-supervised Learning with Locally Linear Coordination for Face Recognition

Stress Detection Using Speech Spectrograms and Sigma-pi Neuron Units

Wheat Quality Recognition Based on Watershed Algorithm and Kernel Partial Least Squares

Modeling, Identification and Robust Control of Yaw Dynamics of Small-Scale Unmanned Helicopters

PSS Design Using Adaptive Recurrent Neural Network Controller

Study on Control Strategy for Photovoltaic Energy Systems Based on Recurrent Fuzzy Neural Networks

Synchronization Motion Control for Electro-hydraulic System of Tensioner for Pipelaying Vessel

Trajectory Tracking Control of a Redundantly Actuated Parallel Robot Using Diagonal Recurrent Neural Network

Blind MultiUser Detection Algrithem Based on LMK Feed-Foward Neural Network

Geoacoustic Inversion Based on Support Vector Machine

Improved Blind Watermarking of 3D Objects Based on Partition

Study to Speech Emotion Recognition Based on TWINsSVM

A Neural Network Model for Chinese Character Perception

A New Image Denoising Method via Self-Organizing Feature Map Based on Hidden Markov Models

A New Product Development Cost Estimation Method Based on the Optimal Weight Combination

A New Surface Reconstruction Method in Reverse Engineering

A Novel Clustering Method Combining Heuristics and Information Theorem

A Self-Adaptive Hybrid Genetic Algorithm for Data Mining Applications

An Improved BP Neural Network Model Based on Quasic-Newton Algorithm

An Improved PSO Algorithm to Optimize BP Neural Network

Analysis of Neurodynamics on Phase Neural Coding in the Presence of Inhibitory Neurons

Application of BP Model Based on RAGA and MCMC in Probabilistic Flood Forecasting

Associative Memory with Small-World Adaptive Structure through Annealed Rewiring

Chaotic Neural Network with Disturbance of Trigonometric Function

Chinese Wine Classification Using BPNN through Combination of Micrographs' Shape and Structure Features

Detection of Straight Lines Using a Spiking Neural Network Model

Fast Algorithm for Arbitrary Length Discrete Cosine Transform

How to Measure the Essential Approximation Capability of a FNN

Leakage Forecasting of Karst Reservoir Using Back-Propagation Artificial Neural Network: A Case of Shuibuya Hydroproject

Modified PCNN Filtering for Fingerprint Enhancement

Nonlinear System Identification Based on Radial Basis Function Neural Network Using Improved Particle Swarm Optimization

Prediction of Indoor Air Quality Using Artificial Neural Networks

Prediction of Network Traffic Using Dynamic Bilinear Recurrent Neural Network

Research on Real-Time Image Sharpening Methods Based on Optimized Neural Network

Research on Wood Density Detection by X-Ray Based on Neural Network

Sigmoid-Linear BP Neural Network Based Variable Selecting Method

Stochastic Evolution Model of Neuronal Oscillator Population under the Condition of the Higher Order Coupling

Study of Financial Risk Prediction Based on Rough Set-ANN Model

The Modeling Ability and Its Effectivity for Multi-layer ADALINE NN

The Research and Application of Adaptive PID Controller Based on Neural Network Predictive Model

The Temperature Control of the Furnace Based on PID of Grey Predicting's Neural Network

Traffic Prediction with Reservoir Computing for Mobile Networks

Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation

A Fault Detection and Isolation Model Based on Conditional Finite State Machine for Gas Turbine

A Fixed-Point Algorithm for Nonnegative Independent Component Analysis

A New Kind of Method for DOA Estimation Based on Blind Source Separation and MVDR Beamforming

A New Sliding-Mode Control Algorithm with Simulation

A Novel Algorithm for Baseline Correction of Chemical Signals

A Parallel Independent Component Implement Based on Field-Programmable-Gate-Array

A Symmetric Orthogonal FastICA Algorithm and Applications in EEG

Anomaly Detection with Self-Organizing Maps and Effects of Principal Component Analysis on Feature Vectors

Application of Principal Component Analysis in Evaluating Influence Factors of Evaporation in Northern Cold Area

Notice of RetractionApplication of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain

Combined Neural Network and PCA for Complicated Damage Detection of Bridge

DOA Estimation of Multiple Spatio-temporal Sources in the Time Domain

Engineering Signals' Blind Source Separation in Frequency Domain and Its Application

Enriched Gabor Feature Based PCA for Face Recognition with One Training Image per Person

Error Analysis and Kinematic Calibration of 3-RPS Symmetrical Parallel Bionic Leg

Extraction of Periodic Signals Based on Maximum Likelihood Estimation

Face Recognition by Nonnegative Independent Component Analysis

Face Recognition Using Modular Independent Component Analysis Directly Based on Image Matrix

Fast Method of Compound Event Probability Calculation Based on Binary Tree

Kernel-Based Bayesian Face Recognition

Local Kernel Mapping for Object Recognition

Magnetic Field Analysis of a New 3-Axis Optical Pickup Actuator Based on ANSYS

Moving Cast Shadow Detection Based on PCA

P300 Feature Extraction Based on Parametric Model and FastICA Algorithm

Principal Component Regression Approach for Forecasting Silicon Content in Hot Metal

Quadratic Form Innovation to Blind Source Separation

Speech Enhancement Algorithm Based on Independent Component Analysis

Target Detection Approach for Hyperspectral Imagery Based on Independent Component Analysis and Local Singularity

The Earthquake Probability Prediction Based on Weighted Factor Coefficients of Principal Components

The Feature Selection in Rolling Bearing Fault Diagnosing Based on Parts-Principle Component Analysis

Using Tasseled Cap Transformation and Finite Gaussian Mixture Model to Classify Landsat TM Imagery Data

Using the Method Combining PCA with BP Neural Network to Predict Water Demand for Urban Development

Author Index - Volume 2

[Roster - Volume 2]

Volume 1 - 2009

2008 Fourth International Conference on Natural Computation

Third International Conference on Natural Computation (ICNC 2007)

Nonlinear Nuisance Attribute Projection in Combined Kernels for SVM-Based Speaker Verification

Content Provider	IEEE Xplore Digital Library
Author	Yuan Dong Liang Lu Xian-yu Zhao Hai-la Wang
Copyright Year	2009
Abstract	This paper investigated the nonlinear nuisance attribute projection (NAP) in combined kernels for SVM-based speaker verification. The combined kernels approach enables the SVM classifier to use several different kinds of kernels together, e.g. linear kernel, RBF kernel, etc, for better classification. To compensate the session variability, which is one of the major reasons for performance degradation, nonlinear kernel NAP was used in this paper to projection out the attribute in the nuisance space which contains mainly the intra speaker variability. Experiments on NIST 2006 SRE corpora shows that, the combined kernels approach outperforms the conventional single kernel SVM approach, while the nonlinear NAP can further enhance this performance gains.
Starting Page	236
Ending Page	239
File Size	888135
Page Count	4
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Degradation Fuses System performance Support vector machine classification Performance gain NIST Speech Telecommunication computing Kernel
Content Type	Text
Resource Type	Article

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