Search results for "Gaussian process"

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
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	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	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	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	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	J. Q. Shi, Roderick Murray-Smith, D. M. Titterington	Hierarchical Gaussian process mixtures for regression.	Statistics and Computing	2005	DBLP DOI BibTeX RDF	hybrid Markov chain Monte Carlo, nonparametric curve fitting, heterogeneity, mixture models, Gaussian process
2	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
2	Salil Deena, Aphrodite Galata	Speech-Driven Facial Animation Using a Shared Gaussian Process Latent Variable Model.	ISVC	2009	DBLP DOI BibTeX RDF
2	Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte, Allan Blair	Gaussian Process modeling of large scale terrain.	ICRA	2009	DBLP DOI BibTeX RDF
2	Ryan Prescott Adams, Iain Murray, David J. C. MacKay	Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities.	ICML	2009	DBLP DOI BibTeX RDF
2	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
2	Huajing Li, Zhisheng Li, Wang-Chien Lee, Dik Lun Lee	A probabilistic topic-based ranking framework for location-sensitive domain information retrieval.	SIGIR	2009	DBLP DOI BibTeX RDF	ranking, topic model, gaussian process, spatial search
2	Johnsen Kho, Alex Rogers, Nicholas R. Jennings	Decentralized control of adaptive sampling in wireless sensor networks.	TOSN	2009	DBLP DOI BibTeX RDF	Adaptive sampling algorithm, Gaussian process regression, decentralized decision mechanism, information metric
2	Julien Villemonteix, Emmanuel Vázquez, Eric Walter	An informational approach to the global optimization of expensive-to-evaluate functions.	J. Global Optimization	2009	DBLP DOI BibTeX RDF	Stepwise uncertainty reduction, Global optimization, Gaussian process, Robust optimization, Kriging
2	Jack M. Wang, David J. Fleet, Aaron Hertzmann	Gaussian Process Dynamical Models for Human Motion.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	machine learning, animation, tracking, motion, stochastic processes, time series analysis
2	Alex Brooks, Alexei Makarenko, Ben Upcroft	Gaussian Process Models for Indoor and Outdoor Sensor-Centric Robot Localization.	IEEE Transactions on Robotics	2008	DBLP DOI BibTeX RDF
2	Matthias W. Seeger, Sham M. Kakade, Dean P. Foster	Information Consistency of Nonparametric Gaussian Process Methods.	IEEE Transactions on Information Theory	2008	DBLP DOI BibTeX RDF
2	Yan Gao, Kap Luk Chan, Wei-Yun Yau	Manifold denoising with Gaussian Process Latent Variable Models.	ICPR	2008	DBLP DOI BibTeX RDF
2	Jing Wang, Hong Man, Yafeng Yin	Tracking human body by using particle filter Gaussian process Markov-switching model.	ICPR	2008	DBLP DOI BibTeX RDF
2	Guoshao Su	Gaussian Process Assisted Differential Evolution Algorithm for Computationally Expensive Optimization Problems.	PACIIA	2008	DBLP DOI BibTeX RDF	Computationally expensive problem, Optimization, Gaussian process, Differential Evolution algorithm
2	Jonathan Ko, Dieter Fox	GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models.	IROS	2008	DBLP DOI BibTeX RDF
2	Jing Wang, Hong Man, Yafeng Yin	Multitarget tracking using Gaussian Process Dynamical Model particle filter.	ICIP	2008	DBLP DOI BibTeX RDF
2	Jaakko Suutala, Kaori Fujinami, Juha Röning	Gaussian Process Person Identifier Based on Simple Floor Sensors.	EuroSSC	2008	DBLP DOI BibTeX RDF	machine learning, context-awareness, Person identification, floor sensors
2	Hyun-Chul Kim, Zoubin Ghahramani	Outlier Robust Gaussian Process Classification.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
2	Ananth Ranganathan, Ming-Hsuan Yang	Online Sparse Matrix Gaussian Process Regression and Vision Applications.	ECCV	2008	DBLP DOI BibTeX RDF
2	Ryan Prescott Adams, Oliver Stegle	Gaussian process product models for nonparametric nonstationarity.	ICML	2008	DBLP DOI BibTeX RDF
2	Christian Walder, Kwang In Kim, Bernhard Schölkopf	Sparse multiscale gaussian process regression.	ICML	2008	DBLP DOI BibTeX RDF
2	Sunho Park, Seungjin Choi	Gaussian process regression for voice activity detection and speech enhancement.	IJCNN	2008	DBLP DOI BibTeX RDF
2	G. Haranadh, C. Chandra Sekhar	Hyperparameters of Gaussian process as features for trajectory classification.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Ahmed H. Abdel-Gawad, Amir F. Atiya	A new accurate approximation for the Gaussian process classification problem.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Xue Wang, Daowei Bi, Liang Ding, Sheng Wang	Bootstrap Gaussian Process classifiers for rotating machinery anomaly detection.	IJCNN	2008	DBLP DOI BibTeX RDF
2	John Guiver, Edward Snelson	Learning to rank with SoftRank and Gaussian processes.	SIGIR	2008	DBLP DOI BibTeX RDF	information retrieval, learning, ranking, Gaussian process
2	Alex Rogers, Mike Osborne, Sarvapali D. Ramchurn, Stephen Roberts, Nicholas R. Jennings	Information Agents for Pervasive Sensor Networks.	PerCom	2008	DBLP DOI BibTeX RDF	pervasive sensor network, multi-output Gaussian process, information agents
2	Joseph Rynkiewicz	Asymptotic Law of Likelihood Ratio for Multilayer Perceptron Models.	ISNN	2008	DBLP DOI BibTeX RDF	Likelihood ratio statistic, Donsker class, Multilayer Perceptron, Gaussian process
2	Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrence	Gaussian Process Latent Variable Models for Human Pose Estimation.	MLMI	2007	DBLP DOI BibTeX RDF
2	Jonathan Ko, Daniel J. Klein, Dieter Fox, Dirk Hähnel	GP-UKF: Unscented kalman filters with Gaussian process prediction and observationmodels.	IROS	2007	DBLP DOI BibTeX RDF
2	Sunho Park, Seungjin Choi	Source Separation with Gaussian Process Models.	ECML	2007	DBLP DOI BibTeX RDF
2	Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqiang Jiang, Wen Gao	Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model.	ICIP	2007	DBLP DOI BibTeX RDF
2	Luka Eciolaza, Muhammad Alkarouri, Neil D. Lawrence, Visakan Kadirkamanathan, Peter J. Fleming	Gaussian Process Latent Variable Models for Fault Detection.	CIDM	2007	DBLP DOI BibTeX RDF
2	Tomohiro Hachino, Visakan Kadirkamanathan	Time Series Forecasting Using Multiple Gaussian Process Prior Model.	CIDM	2007	DBLP DOI BibTeX RDF
2	Raquel Urtasun, Trevor Darrell	Discriminative Gaussian process latent variable model for classification.	ICML	2007	DBLP DOI BibTeX RDF
2	Neil D. Lawrence, Andrew J. Moore	Hierarchical Gaussian process latent variable models.	ICML	2007	DBLP DOI BibTeX RDF
2	Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard	Most likely heteroscedastic Gaussian process regression.	ICML	2007	DBLP DOI BibTeX RDF
2	Jack M. Wang, David J. Fleet, Aaron Hertzmann	Multifactor Gaussian process models for style-content separation.	ICML	2007	DBLP DOI BibTeX RDF
2	Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun	Transductive Gaussian Process Regression with Automatic Model Selection.	ECML	2006	DBLP DOI BibTeX RDF
2	Nathaniel J. King, Neil D. Lawrence	Fast Variational Inference for Gaussian Process Models Through KL-Correction.	ECML	2006	DBLP DOI BibTeX RDF
2	Yangqiu Song, Changshui Zhang, Jianguo Lee	Graph Based Multi-class Semi-supervised Learning Using Gaussian Process.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
2	Raquel Urtasun, David J. Fleet, Pascal Fua	3D People Tracking with Gaussian Process Dynamical Models.	CVPR	2006	DBLP DOI BibTeX RDF
2	Ping Sun, Xin Yao	Greedy forward selection algorithms to Sparse Gaussian Process Regression.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Dirk Büche, Nicol N. Schraudolph, Petros Koumoutsakos	Accelerating evolutionary algorithms with Gaussian process fitness function models.	IEEE Transactions on Systems, Man, and Cybernetics, Part C	2005	DBLP DOI BibTeX RDF
2	Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim	A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
2	Quoc V. Le, Alexander J. Smola, Stéphane Canu	Heteroscedastic Gaussian process regression.	ICML	2005	DBLP DOI BibTeX RDF
2	Ramunas Girdziusas, Jorma Laaksonen	Gaussian Process Regression with Fluid Hyperpriors.	ICONIP	2004	DBLP DOI BibTeX RDF
2	Peter Sollich, Christopher K. I. Williams	Understanding Gaussian Process Regression Using the Equivalent Kernel.	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
2	Peter Sollich	Can Gaussian Process Regression Be Made Robust Against Model Mismatch?	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
2	Roderick Murray-Smith, Barak A. Pearlmutter	Transformations of Gaussian Process Priors.	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
2	Jus Kocijan, Roderick Murray-Smith	Nonlinear Predictive Control with a Gaussian Process Model.	European Summer School on Multi-AgentControl	2003	DBLP DOI BibTeX RDF
2	Daniel Sbarbaro, Roderick Murray-Smith	Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models.	European Summer School on Multi-AgentControl	2003	DBLP DOI BibTeX RDF
2	Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter	Filtered Gaussian Processes for Learning with Large Data-Sets.	European Summer School on Multi-AgentControl	2003	DBLP DOI BibTeX RDF	Filtering transformation, Gaussian process regression model, Karhunen-Loeve expansion, Kernel-based non-parametric models, Principal component analysis
2	Hung Tuan Tran, Thomas Ziegler	Adaptive Bandwidth Provisioning with Explicit Respect to QoS Requirements.	QofIS	2003	DBLP DOI BibTeX RDF	adaptive provisioning, QoS, Gaussian process
2	Ken-ichi Amemori, Shin Ishii	Gaussian Process Approach to Stochastic Spiking Neurons with Reset.	ICANN	2001	DBLP DOI BibTeX RDF
2	Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer	Gaussian Process Regression: Active Data Selection and Test Point Rejection.	IJCNN	2000	DBLP DOI BibTeX RDF
1	Jochem Verrelst, Luis Alonso 0002, Gustavo Camps-Valls, Jesús Delegido, José F. Moreno	Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques.	IEEE T. Geoscience and Remote Sensing	2012	DBLP DOI BibTeX RDF
1	Simon Timothy O'Callaghan, Fabio T. Ramos	Gaussian process occupancy maps.	I. J. Robotic Res.	2012	DBLP DOI BibTeX RDF
1	Norimichi Ukita, Takeo Kanade	Gaussian process motion graph models for smooth transitions among multiple actions.	Computer Vision and Image Understanding	2012	DBLP DOI BibTeX RDF
1	Qi Wu, Rob Law, Xin Xu	A sparse Gaussian process regression model for tourism demand forecasting in Hong Kong.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Kyuho Hwang, Sooyong Choi	Blind equalizer for constant-modulus signals based on Gaussian process regression.	Signal Processing	2012	DBLP DOI BibTeX RDF
1	Wei Liu, Mahesan Niranjan	Gaussian process modelling for bicoid mRNA regulation in spatio-temporal Bicoid profile.	Bioinformatics	2012	DBLP DOI BibTeX RDF
1	Shaowei Wang, Hualai Gu	Multiuser Detection with Sparse Spectrum Gaussian Process Regression.	IEEE Communications Letters	2012	DBLP DOI BibTeX RDF
1	Jianjun He, Hong Gu, Zhelong Wang	Multi-instance multi-label learning based on Gaussian process with application to visual mobile robot navigation.	Inf. Sci.	2012	DBLP DOI BibTeX RDF
1	Jaakko Luttinen, Alexander Ilin	Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Chiwoo Park, Jianhua Z. Huang, Yu Ding	GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Simo Särkkä, Jouni Hartikainen	Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Mihai Anitescu, Jie Chen 0007, Lei Wang 0013	A Matrix-free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem.	SIAM J. Scientific Computing	2012	DBLP DOI BibTeX RDF
1	Kun Zhang, Bernhard Schölkopf, Dominik Janzing	Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery	CoRR	2012	DBLP BibTeX RDF
1	Amrudin Agovic, Arindam Banerjee	Gaussian Process Topic Models	CoRR	2012	DBLP BibTeX RDF
1	Feng Yan, Zenglin Xu, Yuan (Alan) Qi	Sparse matrix-variate Gaussian process blockmodels for network modeling	CoRR	2012	DBLP BibTeX RDF
1	Jarno Vanhatalo, Aki Vehtari	Speeding up the binary Gaussian process classification	CoRR	2012	DBLP BibTeX RDF
1	Nando de Freitas, Alex J. Smola, Masrour Zoghi	Regret Bounds for Deterministic Gaussian Process Bandits	CoRR	2012	DBLP BibTeX RDF
1	Liang Wang 0001, Christopher Leckie	Improved Gaussian process classification via feature space rotation.	Neurocomputing	2012	DBLP DOI BibTeX RDF
1	Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seeger	Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting.	IEEE Transactions on Information Theory	2012	DBLP DOI BibTeX RDF
1	Yonggang Ren, Bin Wu, Yuzhu Pan, Fenglin Lv, Xiangjun Kong, Xiaoli Luo, Yuanchao Li, Qingwu Yang	Characterization of the binding profile of peptide to transporter associated with antigen processing (TAP) using Gaussian process regression.	Comp. in Bio. and Med.	2011	DBLP DOI BibTeX RDF
1	Gholamreza Salimi Khorshidi, Thomas E. Nichols, Stephen M. Smith, Mark William Woolrich	Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations.	IEEE Trans. Med. Imaging	2011	DBLP DOI BibTeX RDF
1	Kristjan Azman, Jus Kocijan	Dynamical systems identification using Gaussian process models with incorporated local models.	Eng. Appl. of AI	2011	DBLP DOI BibTeX RDF
1	Alfredo A. Kalaitzis, Neil D. Lawrence	A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression.	BMC Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Warren Scott, Peter Frazier, Warren B. Powell	The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression.	SIAM Journal on Optimization	2011	DBLP DOI BibTeX RDF
1	Leonid M. Raskin, Michael Rudzsky, Ehud Rivlin	Dimensionality reduction using a Gaussian Process Annealed Particle Filter for tracking and classification of articulated body motions.	Computer Vision and Image Understanding	2011	DBLP DOI BibTeX RDF
1	Jeremy Rohmer, Evelyne Foerster	Global sensitivity analysis of large-scale numerical landslide models based on Gaussian-Process meta-modeling.	Computers & Geosciences	2011	DBLP DOI BibTeX RDF
1	Varun Chandola, Ranga Raju Vatsavai	A scalable gaussian process analysis algorithm for biomass monitoring.	Statistical Analysis and Data Mining	2011	DBLP DOI BibTeX RDF
1	Shian-Chang Huang	Using Gaussian process based kernel classifiers for credit rating forecasting.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Antti Honkela, Pei Gao, Jonatan Ropponen, Magnus Rattray, Neil D. Lawrence	tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor.	Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Grigorios Skolidis, Guido Sanguinetti	Bayesian Multitask Classification With Gaussian Process Priors.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Sotirios P. Chatzis, Yiannis Demiris	Echo State Gaussian Process.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari	Robust Gaussian Process Regression with a Student-t Likelihood.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Aad van der Vaart, Harry van Zanten	Information Rates of Nonparametric Gaussian Process Methods.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Chiwoo Park, Jianhua Z. Huang, Yu Ding	Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Pascal Bianchi, Jérémie Jakubowicz, François Roueff	Linear Precoders for the Detection of a Gaussian Process in Wireless Sensors Networks.	IEEE Transactions on Signal Processing	2011	DBLP DOI BibTeX RDF
1	Jakob H. Macke, Sebastian Gerwinn, Leonard E. White, Matthias Kaschube, Matthias Bethge	Gaussian process methods for estimating cortical maps.	NeuroImage	2011	DBLP DOI BibTeX RDF
1	Jonathan Ko, Dieter Fox	Learning GP-BayesFilters via Gaussian process latent variable models.	Auton. Robots	2011	DBLP DOI BibTeX RDF