Search results for "density-estimation"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
66	Dan Jiang, Christoph F. Eick, Chun-Sheng Chen	On supervised density estimation techniques and their application to spatial data mining.	GIS	2007	DBLP DOI BibTeX RDF	hot spot discovery, density estimation, spatial data mining, density-based clustering
65	Christophe G. Lambert, S. E. Harrington, C. R. Harvey, A. Glodjo	Efficient On-Line Nonparametric Kernel Density Estimation.	Algorithmica	1999	DBLP DOI BibTeX RDF	On-line fast multiple algorithm, Smoothing, Nonparametric density estimation, Kernel regression
63	James P. McDermott, Gutti Jogesh Babu, John C. Liechty, Dennis K. J. Lin	Data skeletons: simultaneous estimation of multiple quantiles for massive streaming datasets with applications to density estimation.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Sequential quantile estimation, Sequential density estimation, Online algorithms, Cubic spline, Sequential algorithms
59	Mark A. Girolami, Chao He	Probability Density Estimation from Optimally Condensed Data Samples.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	data condensation, Kernel density estimation, sparse representation, Parzen window
57	Jun Sakuma, Shigenobu Kobayashi	Real-coded crossover as a role of kernel density estimation.	GECCO	2005	DBLP DOI BibTeX RDF	real-coded GA, gaussian mixture model, expectation maximization, crossover, kernel density estimation
51	Adrian M. Peter, Anand Rangarajan 0001	Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching.	IEEE Trans. Image Process.	2008	DBLP DOI BibTeX RDF
49	Ahmed M. Elgammal, Ramani Duraiswami, Larry S. Davis	Efficient Kernel Density Estimation Using the Fast Gauss Transform with Applications to Color Modeling and Tracking.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	fast Gauss transform, tracking, Statistical methods, kernel density estimation, color modeling
45	Andy M. Yip, Chris H. Q. Ding, Tony F. Chan	Dynamic Cluster Formation Using Level Set Methods.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	cluster intensity functions, cluster contours, partial differential equations, level set methods, kernel density estimation, Dynamic clustering
45	Martin L. Hazelton, Berwin A. Turlach	Nonparametric density deconvolution by weighted kernel estimators.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Integrated square error, Density estimation, Weights, Measurement error, Errors in variables
43	Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, José C. Príncipe	Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing.	J. VLSI Signal Process.	2006	DBLP DOI BibTeX RDF	multivariate density estimation, statistical signal processing, Gaussianization
43	Bruce Walter, Philip M. Hubbard, Peter Shirley, Donald P. Greenberg	Global Illumination Using Local Linear Density Estimation.	ACM Trans. Graph.	1997	DBLP DOI BibTeX RDF	regression, density estimation, realistic image synthesis, decimation, particle tracing
42	Alexander Hinneburg, Daniel A. Keim	A General Approach to Clustering in Large Databases with Noise.	Knowl. Inf. Syst.	2003	DBLP DOI BibTeX RDF	Clustering of high-dimensional data, Clustering in multi- media databases, Clustering in the presence of noise, Clustering algorithms, Kernel Density Estimation, Density-based clustering
39	Aoying Zhou, Zhiyuan Cai, Li Wei, Weining Qian	M-Kernel Merging: Towards Density Estimation over Data Streams.	DASFAA	2003	DBLP DOI BibTeX RDF
37	Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li 0008	Distributed Density Estimation Using Non-parametric Statistics.	ICDCS	2007	DBLP DOI BibTeX RDF	Non-parametric Statistics, Gossip, Data Reduction, Kernel Density Estimation, Distributed Estimation
37	Bao-Zhi Qiu, Xiang-Li Li, Jun-Yi Shen	Grid-Based Clustering Algorithm Based on Intersecting Partition and Density Estimation.	PAKDD Workshops	2007	DBLP DOI BibTeX RDF	intersecting partition, algorithm, density estimation, Grid-based clustering
37	Meng Wang 0001, Yan Song 0001, Xun Yuan 0001, HongJiang Zhang, Xian-Sheng Hua 0001, Shipeng Li 0001	Automatic video annotation by semi-supervised learning with kernel density estimation.	ACM Multimedia	2006	DBLP DOI BibTeX RDF	SSLKDE, semi-supervised learning, video annotation, kernel density estimation
37	Marco Di Marzio, Charles C. Taylor	Kernel density classification and boosting: an L2 analysis.	Stat. Comput.	2005	DBLP DOI BibTeX RDF	simulation, smoothing, cross-validation, discrimination, nonparametric density estimation
37	Alexis Joly, Olivier Buisson	Discriminant local features selection using efficient density estimation in a large database.	Multimedia Information Retrieval	2005	DBLP DOI BibTeX RDF
37	Ergun Biçici, Deniz Yuret	Locally Scaled Density Based Clustering.	ICANNGA (1)	2007	DBLP DOI BibTeX RDF
36	Dongho Kim, Tony Ambler	Robust transition density estimation by considering input/output transition behavior.	ISCAS (5)	2001	DBLP DOI BibTeX RDF
35	Arjan J. H. Peddemors, Henk Eertink, Ignas G. Niemegeers	Density estimation for out-of-range events on personal mobile devices.	MobilityModels	2008	DBLP DOI BibTeX RDF	delay tolerant applications, wireless tracing, kernel density estimation, mobility prediction
35	Maria Danese, Maurizio Lazzari, Beniamino Murgante	Kernel Density Estimation Methods for a Geostatistical Approach in Seismic Risk Analysis: The Case Study of Potenza Hilltop Town (Southern Italy).	ICCSA (1)	2008	DBLP DOI BibTeX RDF	seismic risk, southern Italy, Potenza, bandwidth, Kernel density estimation, spatial analysis
35	Giuseppe Borruso	Geographical Analysis of Foreign Immigration and Spatial Patterns in Urban Areas: Density Estimation and Spatial Segregation.	ICCSA (1)	2008	DBLP DOI BibTeX RDF	Geographical Analysis, Foreign Immigration, Spatial Segregation, Trieste (Italy), GIS, Density Estimation
35	Byeungwoo Jeon, David A. Landgrebe	Fast Parzen Density Estimation Using Clustering-Based Branch and Bound.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	fast Parzen density estimation, clustering-based branch and bound, nonparametric discriminant analysis, multivariant case, data reduction technique, pattern recognition, estimation theory, kernel functions, nonparametric statistics, computational load, data samples
35	Alfred Ultsch	Density Estimation and Visualization for Data Containing Clusters of Unknown Structure.	GfKl	2004	DBLP DOI BibTeX RDF
34	Massimo Piccardi, Óscar Pérez	Hidden Markov Models with Kernel Density Estimation of Emission Probabilities and their Use in Activity Recognition.	CVPR	2007	DBLP DOI BibTeX RDF
33	Bohyung Han, Dorin Comaniciu, Ying Zhu 0006, Larry S. Davis	Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Computer vision, Computer vision, Tracking, Statistical, Statistical
32	Robert Herzog, Hans-Peter Seidel	Lighting Details Preserving Photon Density Estimation.	PG	2007	DBLP DOI BibTeX RDF
32	Chee Siong Teh, Chee Peng Lim	An Artificial Neural Network Classifier Design Based-on Variable Kernel and Non-Parametric Density Estimation.	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Variable kernel, Pattern classification, Density estimation, Topographic map
31	Adrian G. Bors, Nikolaos Nasios	Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling.	ICANN (2)	2009	DBLP DOI BibTeX RDF	quantum clustering, bandwidth, Kernel density estimation
31	Aiyou Chen	Fast Kernel Density Independent Component Analysis.	ICA	2006	DBLP DOI BibTeX RDF	independent component analysis, kernel density estimation, nonparametric methods
31	Jobst Heitzig	Using the Jackknife Method to Produce Safe Plots of Microdata.	Privacy in Statistical Databases	2006	DBLP DOI BibTeX RDF	jackknife method, contour plot, robustness, noise, histogram, kernel density estimation, remote access
31	Christoph Heinz, Bernhard Seeger	Wavelet density estimators over data streams.	SAC	2005	DBLP DOI BibTeX RDF	wavelets, data streams, density estimation
31	Daniel Cremers, Timo Kohlberger, Christoph Schnörr	Nonlinear Shape Statistics in Mumford-Shah Based Segmentation.	ECCV (2)	2002	DBLP DOI BibTeX RDF	shape learning, nonlinear statistics, probabilistic kernel PCA, Segmentation, variational methods, density estimation, Mercer kernels
31	Woong Myung Kim, Chan-Ho Park, Hyon-Soo Lee	Multi-level Independent Component Analysis.	ISNN (1)	2006	DBLP DOI BibTeX RDF
30	Hanzi Wang, David Suter	Robust Adaptive-Scale Parametric Model Estimation for Computer Vision.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF	Robust model fitting, random sample consensus, residual consensus, adaptive least kth order squares, fundamental matrix estimation, mean shift, kernel density estimation, range image segmentation, least-median-of-squares
30	Kai Zhang 0001, Ming Tang, James T. Kwok	Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation.	CVPR (2)	2005	DBLP DOI BibTeX RDF
30	Sheng Chen 0001, Xia Hong 0001, Chris J. Harris	Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization.	IEEE Trans. Syst. Man Cybern. Part B	2004	DBLP DOI BibTeX RDF
30	Woong Myung Kim, Hyon-Soo Lee	An Efficient Score Function Generation Algorithm with Information Maximization.	ICNC (1)	2005	DBLP DOI BibTeX RDF
29	Chun-Sheng Chen, Vadeerat Rinsurongkawong, Christoph F. Eick, Michael D. Twa	Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.	PAKDD	2009	DBLP DOI BibTeX RDF	region discovery, supervised density estimation, contour clustering, interestingness comparison, spatial data mining, Change analysis
29	Theo Gevers, Harro M. G. Stokman	Robust Histogram Construction from Color Invariants for Object Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF	color invariants, histogram construction, noise propagation, Object recognition, matching, kernel density estimation, noise robustness
29	Irene Y. H. Gu, Vasile Gui, Zhifei Xu	Video Segmentation Using Joint Space-Time-Range Adaptive Mean Shift.	PCM	2006	DBLP DOI BibTeX RDF	joint space-time-range mean shift, inter-frame mode matching, intra-frame mode estimation, image segmentation, video segmentation, mean shift, kernel density estimation
29	Bin Liu, Ying Yang 0001, Geoffrey I. Webb, Janice R. Boughton	A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification.	PAKDD	2009	DBLP DOI BibTeX RDF
28	Edmondo Trentin, Leonardo Rigutini	A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains.	ICANN (1)	2009	DBLP DOI BibTeX RDF	unsupervised relational learning, recursive network, Density estimation
28	David S. Leslie, Robert Kohn, David J. Nott	A general approach to heteroscedastic linear regression.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Dirichlet process mixture, Heteroscedasticity, Model checking, Density estimation, Variable selection, Nonparametric regression
28	Szymon Lukasik	Parallel Computing of Kernel Density Estimates with MPI.	International Conference on Computational Science (3)	2007	DBLP DOI BibTeX RDF	plug-in method, least squares cross-validation, adaptive bandwidth, parallel algorithms, MPI, kernel density estimation
28	Christoph Heinz, Bernhard Seeger	Resource-aware kernel density estimators over streaming data.	CIKM	2006	DBLP DOI BibTeX RDF	data streams, kernel density estimation
28	Antoine Boudet, Paul Pitot, David Pratmarty, Mathias Paulin	Photon Splatting for participating media.	GRAPHITE	2005	DBLP DOI BibTeX RDF	photon splatting, global illumination, density estimation, participating media
28	Baback Moghaddam, Alex Pentland	Probabilistic Visual Learning for Object Representation.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	Face recognition, principal component analysis, gesture recognition, maximum-likelihood, density estimation, target detection, Eigenfaces, subspace methods
28	Baback Moghaddam, Alex Pentland	Probabilistic Visual Learning for Object Detection.	ICCV	1995	DBLP DOI BibTeX RDF	probabilistic visual learning, unsupervised visual learning, eigenspace decomposition, multivariate Gaussian, automatic object recognition, nonrigid objects, object recognition, unsupervised learning, object detection, maximum likelihood estimation, maximum-likelihood estimation, visual search, density estimation, target detection, high-dimensional spaces, human faces, probability densities, training data
28	Hong Shen 0001, Xiao-Long Yan	Probability Density Estimation over evolving data streams using Tilted Parzen Window.	ISCC	2008	DBLP DOI BibTeX RDF
28	Jussi Klemelä	Density estimation with stagewise optimization of the empirical risk.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	Multivariate function estimation, Boosting, Greedy algorithms, Empirical risk minimization
27	Sandrine Dudoit, Mark J. van der Laan, Sündüz Keles, Annette M. Molinaro, Sandra E. Sinisi, Siew Leng Teng	Loss-based estimation with cross-validation: applications to microarray data analysis.	SIGKDD Explor.	2003	DBLP DOI BibTeX RDF	censored data, comparative genomic hybridization, multivariate outcome, classification, prediction, estimation, microarray, risk, model selection, density estimation, cross-validation, variable selection, survival analysis, regression trees, loss function
27	Le Song, Xinhua Zhang, Alexander J. Smola, Arthur Gretton, Bernhard Schölkopf	Tailoring density estimation via reproducing kernel moment matching.	ICML	2008	DBLP DOI BibTeX RDF
27	Yaniv Gurwicz, Boaz Lerner	Rapid Spline-based Kernel Density Estimation for Bayesian Networks.	ICPR (3)	2004	DBLP DOI BibTeX RDF
27	Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alex Gammerman	Pattern Recognition and Density Estimation under the General i.i.d. Assumption.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
26	Hongbo Zhou 0001, Qiang Cheng, Hong-Ju Yang, Haiyun Xu	Weighted Kernel Density Estimation of the Prepulse Inhibition Test.	SERVICES	2010	DBLP DOI BibTeX RDF	prepulse inhibitation test, startle response, Kernel density estimation
26	Ying Yang	Penalized semiparametric density estimation.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Penalized likelihood estimation, Generalized maximum likelihood criterion, Smoothing splines, Density estimation, Reproducing kernel Hilbert space
26	Pranam Janney, Glenn Geers	Framework for Illumination Invariant Vehicular Traffic Density Estimation.	PSIVT	2009	DBLP DOI BibTeX RDF	Invariant Features of Local Textures (IFLT), Support Vector Machines (SVM), Intelligent Transport Systems (ITS), density estimation, illumination invariance, parameters, traffic information
26	Jonathan Lawry, Inés González Rodríguez	Non-parametric Density Estimation Based on Label Semantics.	SMPS	2008	DBLP DOI BibTeX RDF	Label semantics, Density estimation, Computing with Words
26	Adelchi Azzalini, Nicola Torelli	Clustering via nonparametric density estimation.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Cluster analysis, Delaunay triangulation, Kernel method, Voronoi tessellation, Nonparametric density estimation
26	Nilanjan Ray, Baidya Nath Saha	Deformable Object Tracking: A Kernel Density Estimation Approach Via Level Set Function Evolution.	PReMI	2007	DBLP DOI BibTeX RDF	cine MRI, level set, Kernel density estimation, Parzen window, KL divergence
26	Hafiz Malik, K. P. Subbalakshmi, Rajarathnam Chandramouli	Steganalysis of GIM-based data hiding using kernel density estimation.	MM&Sec	2007	DBLP DOI BibTeX RDF	gamma density, steganography, steganalysis, kernel density estimation, mode, skewness, quantization index modulation
26	Daniel Cremers, Stanley J. Osher, Stefano Soatto	Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation.	Int. J. Comput. Vis.	2006	DBLP DOI BibTeX RDF	image segmentation, Bayesian inference, alignment, level set methods, kernel density estimation, shape priors
26	Giles Hooker	Diagnosing extrapolation: tree-based density estimation.	KDD	2004	DBLP DOI BibTeX RDF	trees-based models, clustering, visualization, interpretation, density estimation, diagnostics, modeling methodologies, extrapolation, CART, C4.5
26	Michalis K. Titsias, Aristidis Likas	Class Conditional Density Estimation Using Mixtures with Constrained Component Sharing.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	component sharing, classification, EM algorithm, Mixture models, density estimation
26	Tatsuya Tanaka, Atsushi Shimada, Daisaku Arita, Rin-Ichiro Taniguchi	Object Detection under Varying Illumination Based on Adaptive Background Modeling Considering Spatial Locality.	PSIVT	2009	DBLP DOI BibTeX RDF	Adaptive background model, Parzen density estimation, Radial Reach Filter, Object detection, Illumination change
26	Diego Rother, Guillermo Sapiro, Vijay Pande	Statistical Characterization of Protein Ensembles.	IEEE ACM Trans. Comput. Biol. Bioinform.	2008	DBLP DOI BibTeX RDF	protein ensembles, Bayesian networks, graphical models, bootstrapping, maximum likelihood, density estimation, cross-validation
26	Han Zhou, Zhi-yuan Zeng, Jian-zhong Zhou	Motion Detection with Background Clutter Suppression Based on KDE Model.	ICIC (1)	2008	DBLP DOI BibTeX RDF	Normalized color space, Motion detection, Kernel density estimation, Background modeling
26	Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González	Soft Clustering for Nonparametric Probability Density Function Estimation.	ICANN (1)	2007	DBLP DOI BibTeX RDF	Parzen windows, soft clustering, Probability density estimation, nonparametric modeling
26	Yaser Sheikh, Mubarak Shah	Bayesian Modeling of Dynamic Scenes for Object Detection.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF	joint domain range, MAP-MRF estimation, Object detection, kernel density estimation
26	Ajit Rajwade 0002, Arunava Banerjee, Anand Rangarajan 0001	Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
26	Fasheng Hu, Zhenqiu Liu, Chunxin Jia, Dechang Chen	Conditional Density Estimation with HMM Based Support Vector Machines.	ICIC (2)	2007	DBLP DOI BibTeX RDF
26	Sheetal Reddy Pamudurthy, S. Chandrakala 0001, C. Chandra Sekhar	Local Density Estimation based Clustering.	IJCNN	2007	DBLP DOI BibTeX RDF
26	Hyun-Chul Kim, Jaewook Lee 0001	Pseudo-density Estimation for Clustering with Gaussian Processes.	ISNN (1)	2006	DBLP DOI BibTeX RDF
26	Ajit Rajwade 0002, Arunava Banerjee, Anand Rangarajan 0001	New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration.	CVPR (2)	2006	DBLP DOI BibTeX RDF
26	Lasse Holmström, Fabian Hoti	Application of Semiparametric Density Estimation to Classification.	ICPR (3)	2004	DBLP DOI BibTeX RDF
25	Tatsuya Tanaka, Atsushi Shimada, Daisaku Arita, Rin-Ichiro Taniguchi	A fast algorithm for adaptive background model construction using parzen density estimation.	AVSS	2007	DBLP DOI BibTeX RDF
25	Marco Di Marzio, Charles C. Taylor	On boosting kernel density methods for multivariate data: density estimation and classification.	Stat. Methods Appl.	2005	DBLP DOI BibTeX RDF	Bandwidth selection, bias reduction, leave-one-out estimates, simulation, learning, smoothing
25	Hunsop Hong, Dan Schonfeld	Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation.	IEEE Trans. Image Process.	2008	DBLP DOI BibTeX RDF
25	Matjaz Kukar	Quality assessment of individual classifications in machine learning and data mining.	Knowl. Inf. Syst.	2006	DBLP DOI BibTeX RDF	Data mining, Machine learning, Quality assessment, Typicalness, Transduction
24	Albert Xin Jiang, Kevin Leyton-Brown	Bidding agents for online auctions with hidden bids.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	eBay auctions, Game-theoretic and decision-theoretic approaches, Expectation maximization, Density estimation, Online auctions, Bidding agents
24	Jia Li 0001	A Source Coding Approach to Classification by Vector Quantization and the Principle of Minimum Description Length.	DCC	2002	DBLP DOI BibTeX RDF	Regression, Vector quantization, Source coding, Density estimation, Minimum description length, Statistical classification
24	Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp	Sparse Density Estimation with l1 Penalties.	COLT	2007	DBLP DOI BibTeX RDF
24	Nittaya Kerdprasop, Kittisak Kerdprasop	Density Estimation Technique for Data Stream Classification.	DEXA Workshops	2006	DBLP DOI BibTeX RDF
24	Giuseppe Borruso	Network Density Estimation: Analysis of Point Patterns over a Network.	ICCSA (3)	2005	DBLP DOI BibTeX RDF
24	Daniela G. Calò, Angela Montanari, Cinzia Viroli	Model-based Density Estimation by Independent Factor Analysis.	GfKl	2005	DBLP DOI BibTeX RDF
24	Markus Weber, Marco Milch, Karol Myszkowski, Kirill Dmitriev, Przemyslaw Rokita, Hans-Peter Seidel	Spatio-Temporal Photon Density Estimation Using Bilateral Filtering.	Computer Graphics International	2004	DBLP DOI BibTeX RDF
24	Kuntal Sengupta, Prabir Burman, Rajeev Sharma	A Non-Parametric Approach for Independent Component Analysis Using Kernel Density Estimation.	CVPR (2)	2004	DBLP DOI BibTeX RDF
24	Hanzi Wang, David Suter	MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation.	Int. J. Comput. Vis.	2004	DBLP DOI BibTeX RDF	breakdown point, residual consensus, adaptive least kth order squares, random sample consensus, Hough transform, robust estimation, mean shift, range image segmentation, model fitting, least median of squares
24	Ahmed M. Elgammal, Ramani Duraiswami, Larry S. Davis	Efficient Non-Parametric Adaptive Color Modeling Using Fast Gauss Transform.	CVPR (2)	2001	DBLP DOI BibTeX RDF
23	Ullas Pazhayaveetil, Dhruba Chandra, Paul D. Franzon	Flexible Low Power Probability Density Estimation Unit For Speech Recognition.	ISCAS	2007	DBLP DOI BibTeX RDF
23	Chong Wang 0002, Wenyuan Wang	Links between PPCA and subspace methods for complete Gaussian density estimation.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
23	Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin	A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation.	CVPR (2)	2005	DBLP DOI BibTeX RDF
23	Ying Xia, Guoyin Wang 0001, Song Gao	An Efficient Clustering Algorithm for 2D Multi-density Dataset in Large Database.	MUE	2007	DBLP DOI BibTeX RDF
23	Sheng Chen 0001, Xia Hong 0001, Chris J. Harris	Probability Density Function Estimation Using Orthogonal Forward Regression.	IJCNN	2007	DBLP DOI BibTeX RDF
23	Wael Abd-Almageed, Aly I. El-Osery, Christopher E. Smith	Estimating time-varying densities using a stochastic learning automaton.	Soft Comput.	2006	DBLP DOI BibTeX RDF
23	Song Gao, Ying Xia	GDCIC: A Grid-based Density-Confidence-Interval Clustering Algorithm for Multi-density Dataset in Large Spatial Database.	ISDA (1)	2006	DBLP DOI BibTeX RDF
23	Andy M. Yip, Chris H. Q. Ding, Tony F. Chan	Dynamic Cluster Formation Using Level Set Methods.	PAKDD	2005	DBLP DOI BibTeX RDF
23	Dorin Comaniciu, Visvanathan Ramesh, Alessio Del Bue	Multivariate Saddle Point Detection for Statistical Clustering.	ECCV (3)	2002	DBLP DOI BibTeX RDF	nonparametric clustering, cluster significance, image features, grouping and segmentation