Search results for "Gaussian"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
4	J. Q. Shi, B. Wang	Curve prediction and clustering with mixtures of Gaussian process functional regression models.	Statistics and Computing	2008	DBLP DOI BibTeX RDF	Curve clustering, Curve prediction, Gaussian process functional regression model, Allocation model, Batch data, Gaussian process, Functional data analysis
4	Aleksey Koval, Boris S. Verkhovsky	Analysis of RSA over Gaussian Integers Algorithm.	ITNG	2008	DBLP DOI BibTeX RDF	Gaussian Integers, Gaussian primes, Cryptography, RSA
4	Yarui Chen, Shizhong Liao	Cluster Selection Based on Coupling for Gaussian Mean Fields.	ISNN	2008	DBLP DOI BibTeX RDF	Variational Probabilistic Inference, Gaussian Mean Field, Cluster Selection, Gaussian Markov Random Field
4	John See, Madasu Hanmandlu, Shantaram Vasikarla	Fuzzy-based Parameterized Gaussian Edge Detector Using Global and Local Properties.	ITCC	2005	DBLP DOI BibTeX RDF	Gaussian edge detector, Gaussian membership function, contrast intensification, entropy optimization, Image enhancement
4	Knut K. Aase	Representative Agent Pricing of Financial Assets Based on Lévy Processes with Normal Inverse Gaussian Marginals.	Annals OR	2002	DBLP DOI BibTeX RDF	partial equilibrium, normal inverse Gaussian distribution, inverse Gaussian distribution, CCAPM, futures contracts, options
4	Günther Specht, Thomas Kahabka	Information Filtering and Personalization in Databases Using Gaussian Curves. (PDF / PS)	IDEAS	2000	DBLP DOI BibTeX RDF	Gaussian curves, adaptive personalisation algorithm, arbitrary information systems, GRAS algorithm, Gaussian Rating Adaptation Scheme, retrieved document sorting, personal interests, personal relevance, user numbers, background information, feedback techniques, user profile adaptation, object profile adaptation, profile maturity, MultiMAP multimedia database, generic personalisation provider module, databases, collaborative filtering, information filtering, content-based filtering, information retrieval systems, multimedia data, content structure
4	Konstantinos N. Plataniotis, Dimitrios Androutsos, Anastasios N. Venetsanopoulos	Nonlinear Filtering of Non-Gaussian Noise.	Journal of Intelligent and Robotic Systems	1997	DBLP DOI BibTeX RDF	non-Gaussian filtering, Kalman filter, adaptive algorithms, Gaussian mixtures, narrowband interference
4	Feng Chen, Zheng Gao, John D. Villasenor	A lattice vector quantizer for generalized Gaussian sources. (PDF / PS)	ICIP	1995	DBLP DOI BibTeX RDF	Lena image, generalized Gaussian sources, fixed-rate lattice vector quantizer, contour of constant probability, integer lattice, optimal boundary gains, GG sources, low-complexity techniques, optimal codevector search, quantization process, optimisation, image coding, search problems, rate control, table lookup, enumeration, dimension, Gaussian processes, vector quantisation, rate distortion theory, lattice theory, lookup tables, shape parameter
4	Benjamin Belzer, John D. Villasenor, Bernd Girod	Joint source channel coding of images with trellis coded quantization and convolutional codes. (PDF / PS)	ICIP	1995	DBLP DOI BibTeX RDF	Gaussian channels, phase shift keying, low complexity codec, high robustness, Ungerboeck trellis code, Gaussian sources, additive white Gaussian noise channel, BPSK modulation, image subband coefficients, transmission bandwidth, optimal bandwidth allocation, image coding, image coding, source coding, convolutional codes, convolutional codes, vector quantisation, codecs, joint source channel coding, channel coding, AWGN, white noise, trellis codes, trellis coded quantization
4	Maqbool Patel, Fernand S. Cohen	Local Surface Shape Estimation of 3-D Textured Surfaces using Gaussian Markov Random Fields and Stereo Windows.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	local surface shape estimation, 3-D textured surfaces, stereo windows, single 2-D image, perceived systematic deformations, stationary Gaussian Markov random field, surface shape parameter estimation, maximum likelihood estimation problem, Markov processes, maximum likelihood estimation, stereo image processing, developable surfaces, MLE, planar surfaces, camera geometry, probability distribution function, Gaussian Markov random fields
4	Fernand S. Cohen, Zhigang Fan, Maqbool Patel	Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	rotated textured images, scaled textured images, Gaussian Markov random field models, parent texture classes, training texture images, white nonstationary Gaussian random field, Cramer-Rao error bounds, modified Bayes decision rule, classification power, Brodatz album, pattern recognition, pattern recognition, parameter estimation, parameter estimation, discrete Fourier transform, decision theory, Bayes methods, random processes, power spectral density, likelihood function
3	Gaurav Dhiman, Kresimir Mihic, Tajana Rosing	A system for online power prediction in virtualized environments using Gaussian mixture models.	DAC	2010	DBLP DOI BibTeX RDF	virtualization, power, regression, Gaussian mixture models, workload characterization
3	Sylvia Frühwirth-Schnatter, Rudolf Frühwirth, Leonhard Held, Håvard Rue	Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data.	Statistics and Computing	2009	DBLP DOI BibTeX RDF	Binomial data, Count data, log-Gamma distribution, Multinomial data, Negative binomial distribution, Gaussian mixture, Finite mixture models
3	Jian Guan, Yong Huang	Detection performance analysis for MIMO radar with distributed apertures in Gaussian colored noise.	Science in China Series F: Information Sciences	2009	DBLP DOI BibTeX RDF	MIMO radar with distributed apertures, classic linear model, Growth-Curve model, Fishler divergence coefficient, Gaussian colored noise, array processing
3	Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal	Learning gas distribution models using sparse Gaussian process mixtures.	Auton. Robots	2009	DBLP DOI BibTeX RDF	Gas distribution modeling, Gas sensing, Mixture models, Gaussian processes
3	Jonathan Ko, Dieter Fox	GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models.	Auton. Robots	2009	DBLP DOI BibTeX RDF	Machine learning, Regression, Dynamic modelling, Gaussian process, Bayesian filtering
3	Valeri Kontorovich, Serguei Primak	Performance analysis of OSTBC over generalized Gaussian MIMO channels.	IWCMC	2009	DBLP DOI BibTeX RDF	OSTBC, generalized gaussian channel, performance
3	Wentao Fan, Nizar Bouguila	Generating Video Textures by PPCA and Gaussian Process Dynamical Model.	CIARP	2009	DBLP DOI BibTeX RDF	computer vision, computer graphics, dimensionality reduction, Gaussian process, PPCA, autoregressive process, Video texture
3	Roberto Gomperts, Michael J. Frisch, Jean-Pierre Panziera	Scalability of Gaussian 03 on SGI Altix: The Importance of Data Locality on CC-NUMA Architecture.	IWOMP	2009	DBLP DOI BibTeX RDF	Gaussian 03, SGI Altix, OpenMP, memory latency, CC-NUMA
3	Micheal Baechler, Jean-Luc Bloechle, Jean Hennebert	Labeled images verification using Gaussian mixture models.	SAC	2009	DBLP DOI BibTeX RDF	likelihood ratio detector, image processing, Gaussian mixture model
3	Kevin Kontos, Gianluca Bontempi	An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models.	SAC	2009	DBLP DOI BibTeX RDF	Gaussian graphical model, genetic regulatory network, shrinkage
3	Shingo Takahashi, Yuki Yoshida, Shuji Tsukiyama	A Gaussian mixture model for statistical timing analysis.	DAC	2009	DBLP DOI BibTeX RDF	slew distribution, variability, Gaussian mixture model, statistical timing analysis, delay distribution
3	Waleed M. Azmy, Neamat El Gayar, Amir F. Atiya, Hisham El-Shishiny	MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction.	MCS	2009	DBLP DOI BibTeX RDF	NN3 data, Wilcoxon, diversity, MLP, Gaussian Processes, Time series prediction, Negative Correlation Learning
3	Hewayda ElGhawalby, Edwin R. Hancock	Graph Regularisation Using Gaussian Curvature.	GbRPR	2009	DBLP DOI BibTeX RDF	Manifold regularization, Heat kernel, Graph matching, Hausdorff distance, Gaussian curvature
3	Paul Sheridan, Takeshi Kamimura, Hidetoshi Shimodaira	On Scale-Free Prior Distributions and Their Applicability in Large-Scale Network Inference with Gaussian Graphical Models.	Complex	2009	DBLP DOI BibTeX RDF	Gaussian graphical model, prior distribution, “small n, large p” problem, small-sample inference, complex networks, Bayesian inference, Markov chain Monte Carlo, scale-free
3	Bowei Zhang, Guochang Gu, Lin Sun, Yanxia Wu	32-bit floating-point FPGA gaussian elimination.	FPGA	2009	DBLP DOI BibTeX RDF	fpga., floating-point, gaussian elimination
3	Liang Xi, Fengbin Zhang, Dawei Wang	Optimization of Real-Valued Self Set for Anomaly Detection Using Gaussian Distribution.	AICI	2009	DBLP DOI BibTeX RDF	real-valued self set, anomaly detection, artificial immunity system, Gaussian distribution
3	Slamet Riyadi, Mohd. Marzuki Mustafa, Aini Hussain, Oteh Maskon, Ika Faizura Mohd. Noh	Quasi-Gaussian DCT Filter for Speckle Reduction of Ultrasound Images.	IVIC	2009	DBLP DOI BibTeX RDF	DCT, Gaussian, ultrasound image, speckle, echocardiography
3	Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides	Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator.	ARC	2009	DBLP DOI BibTeX RDF	Word-length optimization, FPGA, Multivariate Gaussian Distribution
3	Hongwei Li, Yi Wu, Hanqing Lu	Visual Tracking Using Particle Filters with Gaussian Process Regression.	PSIVT	2009	DBLP DOI BibTeX RDF	Particle Degeneracy, Particle Filter, Visual Tracking, Gaussian Processes
3	Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab	Fuzzy Gaussian Process Classification Model.	ICIAR	2009	DBLP DOI BibTeX RDF	Gaussian Process(es), Soft labels, Fuzzy Classification
3	Fidel Aznar Gregori, Francisco Antonio Pujol López, Mar Pujol López, Ramón Rizo	Using Gaussian Processes in Bayesian Robot Programming.	IWANN	2009	DBLP DOI BibTeX RDF	Machine Learning, Gaussian Processes, Robot Navigation, Bayesian Programming
3	Prashant K. Wali, M. N. Anil Prasad, N. C. Shreyas, N. C. Chaithanya, P. K. Kuttaiah	Gaussian mixture model-expectation maximization based signal strength prediction for seamless connectivity in hybrid wireless networks.	MoMM	2009	DBLP DOI BibTeX RDF	GMM-CP, seamless connectivity, signal strength prediction, threshold signal strength, Markov model, Gaussian mixture model, expectation maximization
3	Wangmeng Zuo, Lei Liu, Kuanquan Wang, David Zhang	Spatially Smooth Subspace Face Recognition Using LOG and DOG Penalties.	ISNN	2009	DBLP DOI BibTeX RDF	Laplacian of Gaussian, Derivative of Gaussian, Face recognition, Regularization, Subspace analysis
3	Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang 0001, Shiming Xiang, Dan Zhang	Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images.	Pattern Anal. Appl.	2009	DBLP DOI BibTeX RDF	Brain tumor segmentation, Semi-automated segmentation, Gaussian random field (GRF), Gaussian process (GP), Magnetic resonance imaging (MRI)
3	Ioan Buciu, Costas Kotropoulos, Ioannis Pitas	Comparison of ICA approaches for facial expression recognition.	Signal, Image and Video Processing	2009	DBLP DOI BibTeX RDF	Super-Gaussian distribution, Sub-Gaussian distribution, Nonlinear mixtures of independent sources, Cosine similarity measure classifier, Independent component analysis, Correlation, Mutual information, Facial expression recognition, Statistical significance, Kurtosis, Support vector machine classifier
3	Hichem Sahbi	A particular Gaussian mixture model for clustering and its application to image retrieval.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Kernel methods and image retrieval, Clustering, Gaussian mixture models
3	Loïck Lhote, Brigitte Vallée	Gaussian Laws for the Main Parameters of the Euclid Algorithms.	Algorithmica	2008	DBLP DOI BibTeX RDF	Euclid’s algorithms, Distributional analysis, Transfer operator, Asymptotic Gaussian laws, Tauberian theorems, Perron’s formula, Dynamical analysis of algorithms, Dynamical systems, Analysis of algorithms, Average-case analysis
3	Xiaoling Ou, Elaine Martin	Batch process modelling with mixtures of Gaussian processes.	Neural Computing and Applications	2008	DBLP DOI BibTeX RDF	Mixture model, Markov chain Monte Carlo, Gaussian processes, Batch processes
3	Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar	Geodesic Gaussian kernels for value function approximation.	Auton. Robots	2008	DBLP DOI BibTeX RDF	Value function approximation, Least-squares policy iteration, Reinforcement learning, Markov decision process, Gaussian kernel
3	Zhiwu Lu, Yuxin Peng	A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	Neural Processing Letters	2008	DBLP DOI BibTeX RDF	Entropy regularization, Semi-supervised learning, Model selection, Gaussian mixture, Pairwise constraints
3	Hongjuan Zhang, Zhenwei Shi, Chonghui Guo, Enmin Feng	Blind Source Extraction for Noisy Mixtures by Combining Gaussian Moments and Generalized Autocorrelations.	Neural Processing Letters	2008	DBLP DOI BibTeX RDF	Blind source extraction, Noisy independent component analysis, Generalized autocorrelations, Gaussian moments, Fetal electrocardiogram
3	David B. Thomas, Wayne Luk	Multivariate Gaussian Random Number Generation Targeting Reconfigurable Hardware.	TRETS	2008	DBLP DOI BibTeX RDF	FPGA, Random numbers, multivariate Gaussian distribution
3	Dong Yin, Jia Pan, Peng Chen, Rong Zhang	Medical Image Categorization Based on Gaussian Mixture Model.	BMEI	2008	DBLP DOI BibTeX RDF	Medical Image, Mixture Model, Categorization, Gaussian
3	Martin Vondra, Robert Vích	Recognition of Emotions in German Speech Using Gaussian Mixture Models.	COST 2102 School (Vietri)	2008	DBLP DOI BibTeX RDF	speech emotions, Gaussian mixture models, emotion recognition
3	Hengyu Wang, Lei Li, Jinwen Ma	The Competitive EM Algorithm for Gaussian Mixtures with BYY Harmony Criterion.	ICIC	2008	DBLP DOI BibTeX RDF	Competitive EM (CEM) algorithm, Model selection, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
3	Wenjian Wang, Liang Ma	An Estimation of the Optimal Gaussian Kernel Parameter for Support Vector Classification.	ISNN	2008	DBLP DOI BibTeX RDF	Bound estimation, Gaussian parameter tuning, Support vector machine, Scale space theory
3	Daifeng Zha	Implementation of Neural Network Learning with Minimum L1-Norm Criteria in Fractional Order Non-gaussian Impulsive Noise Environments.	ISNN	2008	DBLP DOI BibTeX RDF	L 1-norm optimization, Alpha stable distribution, Non-Gaussian distribution, Neural network
3	Lei Li, Jinwen Ma	A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning.	ISNN	2008	DBLP DOI BibTeX RDF	Parameter estimation, EM algorithm, Model selection, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
3	I-Hui Li	Modeling Long-Range Dependent VBR Traffic Using Synthetic Markov-Gaussian TES Models.	NEW2AN	2008	DBLP DOI BibTeX RDF	Gaussian-Markov processes, self-similar, traffic modeling, long-range dependence
3	Chuanxu Wang, Zuoyong Li	Face Detection Based on Skin Gaussian Model and KL Transform.	SNPD	2008	DBLP DOI BibTeX RDF	Skin Gaussian-model, Otsu threshold, KL transform, Face detection
3	Mathias Schlauweg, Dima Pröfrock, Benedikt Zeibich, Erika Müller	Self-synchronizing robust texel watermarking in gaussian scale-space.	MM&Sec	2008	DBLP DOI BibTeX RDF	gaussian scale-space, insertion/deletion error correction, rst-invariant, texture-based feature points, digital watermarking
3	Yi Wang, Wai-Shing Luk, Xuan Zeng, Jun Tao, Changhao Yan, Jiarong Tong, Wei Cai, Jia Ni	Timing yield driven clock skew scheduling considering non-Gaussian distributions of critical path delays.	DAC	2008	DBLP DOI BibTeX RDF	non-Gaussian, process variations, yield, clock skew scheduling
3	Zhaojie Ju, Honghai Liu, Xiangyang Zhu, Youlun Xiong	Dynamic Grasp Recognition Using Time Clustering, Gaussian Mixture Models and Hidden Markov Models.	ICIRA	2008	DBLP DOI BibTeX RDF	Grasp recognition, Time Clustering, Hidden Markov Models, Gaussian Mixture Models, Programming by Demonstration
3	Michael A. Osborne, Stephen J. Roberts, Alex Rogers, Sarvapali D. Ramchurn, Nicholas R. Jennings	Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes.	IPSN	2008	DBLP DOI BibTeX RDF	sensor network, Gaussian processes, information processing
3	John Guiver, Edward Snelson	Learning to rank with SoftRank and Gaussian processes.	SIGIR	2008	DBLP DOI BibTeX RDF	information retrieval, learning, ranking, Gaussian process
3	Toshie Misu, Masahide Naemura, Mahito Fujii, Nobuyuki Yagi	Soccer Formation Classification Based on Fisher Weight Map and Gaussian Mixture Models.	LKR	2008	DBLP DOI BibTeX RDF	Formation analysis, Fisher weight map, soccer, supervised learning, Gaussian mixture model
3	Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides	Multivariate Gaussian Random Number Generator Targeting Specific Resource Utilization in an FPGA.	ARC	2008	DBLP DOI BibTeX RDF	FPGA, Resource Constraint, Random Numbers, Multivariate Gaussian Distribution
3	Kristin S. Benli, Remzi Düzagaç, M. Taner Eskil	Driver Recognition Using Gaussian Mixture Models and Decision Fusion Techniques.	ISICA	2008	DBLP DOI BibTeX RDF	Biometrics, Recognition, Gaussian Mixture Model, Vehicle, Decision Fusion
3	Robert M. Gray, Takeshi Hashimoto	Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes.	DCC	2008	DBLP DOI BibTeX RDF	nonstationary, rate-distortion, Gaussian, Shannon, autoregressive
3	Yang Song, Lu Zhang 0007, C. Lee Giles	A sparse gaussian processes classification framework for fast tag suggestions.	CIKM	2008	DBLP DOI BibTeX RDF	gaussian processes, prototype selection, tagging system, multi-label classification
3	Antoine Scherrer, Nicolas Larrieu, Philippe Owezarski, Pierre Borgnat, Patrice Abry	Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies.	IEEE Trans. Dependable Sec. Comput.	2007	DBLP DOI BibTeX RDF	Traffic statistical modeling, non-Gaussian long-range dependent process, flash crowd, DoS attack
3	Elvira Di Nardo, Amelia G. Nobile, Enrica Pirozzi, Luigi M. Ricciardi	Gaussian processes and neuronal modeling.	Natural Computing	2007	DBLP DOI BibTeX RDF	Neuron firing, simulation, Markov processes, Gaussian models, first passage time
3	Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang	Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries.	Soft Comput.	2007	DBLP DOI BibTeX RDF	Stochastic sensitivity measure, Support vector machine with gaussian kernel, Most sensitive vector, Decision boundary visualization, Radial basis function neural network, Generalization error, Support vector
3	Miguel Á. Carreira-Perpiñán	Gaussian Mean-Shift Is an EM Algorithm.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	Mean-shift algorithm, clustering, EM algorithm, kernel density estimators, Gaussian mixtures
3	Miodrag M. Spalevic	A note on generalized averaged Gaussian formulas.	Numerical Algorithms	2007	DBLP DOI BibTeX RDF	Averaged gaussian quadrature formulas, Gauss-Kronrod quadrature formulas
3	Marcio Juliato, Guido Araujo, Julio López, Ricardo Dahab	A Custom Instruction Approach for Hardware and Software Implementations of Finite Field Arithmetic over F2163 using Gaussian Normal Bases.	VLSI Signal Processing	2007	DBLP DOI BibTeX RDF	Gaussian normal bases, processor specialization, elliptic curve cryptography, finite field arithmetic
3	David B. Thomas, Wayne Luk, Philip Heng Wai Leong, John D. Villasenor	Gaussian random number generators.	ACM Comput. Surv.	2007	DBLP DOI BibTeX RDF	simulation, normal, Random numbers, Gaussian
3	Zhiwu Lu	Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection.	Neural Processing Letters	2007	DBLP DOI BibTeX RDF	model selection, Gaussian mixture, competitive learning, regularization theory
3	Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomoji Toriyama, Kiyoshi Kogure	Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds.	ACCV	2007	DBLP DOI BibTeX RDF	Silhouette extraction, Generalized Gaussian Family model, Background subtraction, Foreground segmentation
3	Jus Kocijan, Kristjan Azman, Alexandra Grancharova	The concept for Gaussian process model based system identification toolbox.	CompSysTech	2007	DBLP DOI BibTeX RDF	Gaussian process models, Matlab toolbox, system identification, dynamic system models
3	Tuan D. Pham	Double Adaptive Filtering of Gaussian Noise Degraded Images.	SCIA	2007	DBLP DOI BibTeX RDF	Image restoration, adaptive filtering, Gaussian noise
3	Kang-Ping Liu, Jinn-Moon Yang	A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites.	EvoBIO	2007	DBLP DOI BibTeX RDF	Atomic solvation parameter, Gaussian evolutionary method, protein-protein binding site, protein-protein interactions
3	Kai Xiao, Sooi Hock Ho, Qussay A. Salih	A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing.	RSFDGrC	2007	DBLP DOI BibTeX RDF	Gaussian Smoothing, Validity Functions, Lateral Ventricles, Clustering, Segmentation, Fuzzy C-Means, brain MRI
3	Stefano Giordano, Massimiliano Gubinelli, Michele Pagano	Rare Events of Gaussian Processes: A Performance Comparison Between Bridge Monte-Carlo and Importance Sampling.	NEW2AN	2007	DBLP DOI BibTeX RDF	Most Likely Path, Bridge Monte-Carlo, Importance Sampling, Gaussian Processes, Rare Event Simulation
3	Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Mariko Nakano-Miyatake, Héctor M. Pérez Meana	Feature Extraction and Face Verification Using Gabor and Gaussian Mixture Models.	MICAI	2007	DBLP DOI BibTeX RDF	Gaussian Mixture Model, Face verification, Gabor functions
3	Yuji Iwahori, Takashi Nakagawa, Shinji Fukui, Haruki Kawanaka, Robert J. Woodham, Yoshinori Adachi	Improvement of Accuracy for Gaussian Curvature Using Modification Neural Network.	KES	2007	DBLP DOI BibTeX RDF	Neural Network, Shape Recovery, Photometric Stereo, Gaussian Curvature
3	Niels Chr. Overgaard, Jan Erik Solem	The Variational Origin of Motion by Gaussian Curvature.	SSVM	2007	DBLP DOI BibTeX RDF	Total mean curvature, gradient descent flow, level set methods, Gaussian curvature, Euler characteristic
3	Dingwen Wang, Jiqi Zhang, Hau-San Wong, Yuanxiang Li	3D Model Retrieval Based on Multi-Shell Extended Gaussian Image.	VISUAL	2007	DBLP DOI BibTeX RDF	Extended Gaussian Image, Spherical Harmonics, 3D Model Retrieval
3	Rezaul Alam Chowdhury, Vijaya Ramachandran	The cache-oblivious gaussian elimination paradigm: theoretical framework, parallelization and experimental evaluation.	SPAA	2007	DBLP DOI BibTeX RDF	matrix multiplication, tiling, Gaussian elimination, cache-oblivious algorithm, all-pairs shortest path
3	Kerstin Lemke-Rust, Christof Paar	Gaussian Mixture Models for Higher-Order Side Channel Analysis.	CHES	2007	DBLP DOI BibTeX RDF	Higher-Order Analysis, Boolean Masking, Second-Order DPA, EM Algorithm, Gaussian Mixture Models, Templates, Side Channel Cryptanalysis
3	Jiqi Zhang, Dingwen Wang, Hau-San Wong	3D model representation using adaptive volumetric extended Gaussian image.	CIVR	2007	DBLP DOI BibTeX RDF	volumetric extended Gaussian image, principal component analysis, 3D model retrieval
3	Chieh-Yuan Tsai, Chuang-Cheng Chiu	An Efficient Feature Selection Approach for Clustering: Using a Gaussian Mixture Model of Data Dissimilarity.	ICCSA	2007	DBLP DOI BibTeX RDF	Clustering, Feature selection, Gaussian mixture model, Expectation maximization
3	Huaijing Qu, Yuhua Peng, Weifeng Sun	Texture Image Retrieval Based on Contourlet Coefficient Modeling with Generalized Gaussian Distribution.	ISICA	2007	DBLP DOI BibTeX RDF	Generalized Gaussian distribution, Texture image retrieval, Modeling, Contourlet transform
3	Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang	A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram.	MLDM	2007	DBLP DOI BibTeX RDF	Filter-refinement, Extended Gaussian Image
3	Maurizio Montagnuolo, Alberto Messina	Automatic Genre Classification of TV Programmes Using Gaussian Mixture Models and Neural Networks.	DEXA Workshops	2007	DBLP DOI BibTeX RDF	neural networks, feature extraction, video content analysis, Gaussian mixtures, genre classification
3	Scott C. Douglas, Jih-Cheng Chao	Simple, Robust, and Memory-Efficient FastICA Algorithms Using the Huber M-Estimator Cost Function.	VLSI Signal Processing	2007	DBLP DOI BibTeX RDF	Huber M-estimator, FastICA algorithm, ill-conditioned signal mixtures, kurtosis-based contrasts, non-Gaussian source distributions, Gaussian noise
3	Krzysztof Debicki, Miranda van Uitert	Large buffer asymptotics for generalized processor sharing queues with Gaussian inputs.	Queueing Syst.	2006	DBLP DOI BibTeX RDF	Large-buffer asymptotics, Gaussian traffic, Communication networks, Differentiated services, Generalized processor sharing
3	A. B. Dieker, Michel Mandjes	Fast simulation of overflow probabilities in a queue with Gaussian input.	ACM Trans. Model. Comput. Simul.	2006	DBLP DOI BibTeX RDF	Asymptotic efficiency, queueing theory, importance sampling, large deviations, Gaussian processes, overflow probability
3	Hui Zhu, X. L. Tang, Peng Liu	An MLP-orthogonal Gaussian mixture model hybrid model for Chinese bank check printed numeral recognition.	IJDAR	2006	DBLP DOI BibTeX RDF	Orthogonal Gaussian mixture model, Chinese bank check recognition, Multilayer perceptron, Multiple classifier systems, Outlier rejection
3	Hyun-Chul Kim, Zoubin Ghahramani	Bayesian Gaussian Process Classification with the EM-EP Algorithm.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Gaussian process classification, expectation propagation, EM-EP algorithm, kernel methods, Bayesian methods
3	Fatima Abu Salem	A New Sparse Gaussian Elimination Algorithm and the Niederreiter Linear System for Trinomials over F2.	Computing	2006	DBLP DOI BibTeX RDF	Niederreiter algorithm, Finite fields, polynomial factorization, sparse Gaussian elimination
3	Donald B. Percival, William L. B. Constantine	Exact simulation of Gaussian Time Series from Nonparametric Spectral Estimates with Application to Bootstrapping.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Circulant embedding, Power law process, Surrogate time series, Time series analysis, Gaussian process
3	Onno Zoeter, Tom Heskes	Deterministic approximate inference techniques for conditionally Gaussian state space models.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Conditionally Gaussian state space models, Switching linear dynamical systems, Expectation propagation, Assumed density filtering, State space models, Approximate inference
3	Arash Reyhani-Masoleh	Efficient Algorithms and Architectures for Field Multiplication Using Gaussian Normal Bases.	IEEE Trans. Computers	2006	DBLP DOI BibTeX RDF	software algorithms, normal basis, ECDSA, Finite field multiplication, Gaussian normal basis
3	Ricardo Dahab, Darrel Hankerson, Fei Hu, Men Long, Julio López, Alfred Menezes	Software Multiplication Using Gaussian Normal Bases.	IEEE Trans. Computers	2006	DBLP DOI BibTeX RDF	Multiplication in {hbox{rlap{I}kern 2.0pt{hbox{F}}}}_{2^m}, elliptic curve cryptography, Gaussian normal basis
3	Kurt Driessens, Jan Ramon, Thomas Gärtner	Graph kernels and Gaussian processes for relational reinforcement learning.	Machine Learning	2006	DBLP DOI BibTeX RDF	Reinforcement learning, Gaussian processes, Relational learning, Graph kernels
3	Parham Zolfaghari, Hiroko Kato, Yasuhiro Minami, Atsushi Nakamura, Shigeru Katagiri, Roy Patterson	Dynamic Assignment of Gaussian Components in Modelling Speech Spectra.	VLSI Signal Processing	2006	DBLP DOI BibTeX RDF	ML-MoG algorithm, parametrisation, Gaussian spectral model
3	Preston D. Frazier, M. F. Chouikha	Effective Parametric Estimation of Non-Gaussian Autoregressive Moving Average Processes Exhibiting Noise with Impulses.	VLSI Signal Processing	2006	DBLP DOI BibTeX RDF	non-Gaussian processes, impulse effect, autoregressive moving average models, stochastic noise
3	Nurul Arif Setiawan, Seok-Ju Hong, Jang-Woon Kim, Chil-Woo Lee	Gaussian Mixture Model in Improved HLS Color Space for Human Silhouette Extraction.	ICAT	2006	DBLP DOI BibTeX RDF	Improved HLS, Gaussian Mixture Model, foreground segmentation