Search results for "Non-stationary data"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Stéphane Lecoeuche, Christophe Lurette, Sylvain Lalot	New supervision architecture based on on-line modelling of non-stationary data.	Neural Computing and Applications	2004	DBLP DOI BibTeX RDF	Non-stationary data, Monitoring, Unsupervised learning, Diagnostic, Dynamical classification, Auto-adaptation
2	Khaled Boukharouba, Stéphane Lecoeuche	Online Clustering of Non-stationary Data Using Incremental and Decremental SVM.	ICANN	2008	DBLP DOI BibTeX RDF
2	Sang-Woon Kim, B. John Oommen	Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF	Time Varying Samples (TVS), Nonstatinoary Environments, Hybrid-type Prototype Reduction, Prototype Reduction Schemes (PRS)
1	Xiaochuan Zhao, Ali H. Sayed	Diffusion Adaptation over Networks under Imperfect Information Exchange and Non-stationary Data	CoRR	2011	DBLP BibTeX RDF
1	Rahul Singh, Upendra Sharma, Emmanuel Cecchet, Prashant J. Shenoy	Autonomic mix-aware provisioning for non-stationary data center workloads.	ICAC	2010	DBLP DOI BibTeX RDF
1	K. Lau, Julio H. Braslavsky, Juan C. Agüero, Graham C. Goodwin	An errors-in-variables method for non-stationary data with application to mineral exploration.	Automatica	2009	DBLP DOI BibTeX RDF
1	Khaled Boukharouba, Laurent Bako, Stéphane Lecoeuche	Incremental and Decremental Multi-category Classification by Support Vector Machines.	ICMLA	2009	DBLP DOI BibTeX RDF	On-line classification, Non-stationary data, multi-category classification, Face classification and recognition, SVM, Kernel methods
1	Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain-Renaud, Michèle Sebag	Toward autonomic grids: analyzing the job flow with affinity streaming.	KDD	2009	DBLP DOI BibTeX RDF	online clustering, autonomic computing, affinity propagation
1	Marcel Karnstedt, Daniel Klan, Christian Pölitz, Kai-Uwe Sattler, Conny Franke	Adaptive burst detection in a stream engine.	SAC	2009	DBLP DOI BibTeX RDF
1	Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller	Stationary Subspace Analysis.	ICA	2009	DBLP DOI BibTeX RDF	Non-Stationarities, Dimensionality Reduction, Brain-Computer-Interface, BSS, BCI, Source Separation, Covariate Shift
1	Ye Xu, Shen Furao, Osamu Hasegawa, Jinxi Zhao	An Online Incremental Learning Vector Quantization.	PAKDD	2009	DBLP DOI BibTeX RDF
1	Lior Cohen, Gil Avrahami-Bakish, Mark Last, Abraham Kandel, Oscar Kipersztok	Real-time data mining of non-stationary data streams from sensor networks.	Information Fusion	2008	DBLP DOI BibTeX RDF
1	Chunyu Yang, Jie Zhou	Non-stationary data sequence classification using online class priors estimation.	Pattern Recognition	2008	DBLP DOI BibTeX RDF
1	Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino	Non-stationary Data Mining: The Network Security Issue.	ICANN	2008	DBLP DOI BibTeX RDF	K-Winner Machine, Data Mining, Clustering, Network security, Intrusion detection systems
1	Amit Pal	Robust face tracking with occlusion detection and varying intensity.	FG	2008	DBLP DOI BibTeX RDF
1	Mo Chen, Danilo P. Mandic, Preben Kidmose, Michael Ungstrup	Qualitative assessment of intrinsic mode functions of empirical mode decomposition.	ICASSP	2008	DBLP DOI BibTeX RDF
1	Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala	Handling Missing Data from Heteroskedastic and Nonstationary Data.	ISNN	2007	DBLP DOI BibTeX RDF
1	Aïcha Bouzid, Noureddine Ellouze	Voiced Speech Analysis by Empirical Mode Decomposition.	NOLISP	2007	DBLP DOI BibTeX RDF	intrinsic mode functions, spectral analysis, Empirical mode decomposition, speech signal
1	Jen-Chun Lee, Ping S. Huang, Te-Ming Tu, Chien-Ping Chang	Recognizing Human Iris by Modified Empirical Mode Decomposition.	PSIVT	2007	DBLP DOI BibTeX RDF	Empirical Mode Decomposition (EMD), multi-resolution decomposition, Biometrics, iris recognition
1	Sang-Woon Kim, B. John Oommen	Prototype reduction schemes applicable for non-stationary data sets.	Pattern Recognition	2006	DBLP DOI BibTeX RDF
1	Tarik Arici, Toygar Akgun, Yucel Altunbasak	A prediction error-based hypothesis testing method for sensor data acquisition.	TOSN	2006	DBLP DOI BibTeX RDF	Non-stationary data modeling, stationary, wireless sensor networks, prediction, regression, hypothesis testing
1	Jen-Chun Lee, Ping S. Huang, Chung-Shi Chiang, Te-Ming Tu, Chien-Ping Chang	An Empirical Mode Decomposition Approach for Iris Recognition.	ICIP	2006	DBLP DOI BibTeX RDF
1	Hui Li, Haiqi Zheng, Liwei Tang	Wigner-Ville Distribution Based on EMD for Faults Diagnosis of Bearing.	FSKD	2006	DBLP DOI BibTeX RDF
1	Bo Peng, Xiaogang Jin, Yong Min, Xianchuang Su	The Study on the sEMG Signal Characteristics of Muscular Fatigue Based on the Hilbert-Huang Transform.	International Conference on Computational Science	2006	DBLP DOI BibTeX RDF
1	Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei	Multi-scale Support Vector Machine for Regression Estimation.	ISNN	2006	DBLP DOI BibTeX RDF
1	Andrew LeBeau, Justin Fields, Ryan Lavering, Diana Franklin, John Seng	Improving Non-Stationary Data Retrieval in Wireless Sensor Networks.	ICWN	2005	DBLP BibTeX RDF
1	Shen Furao, Osamu Hasegawa	An On-Line Learning Mechanism for Unsupervised Classification and Topology Representation.	CVPR	2005	DBLP DOI BibTeX RDF
1	Habiboulaye Amadou Boubacar, Stéphane Lecoeuche	A New Kernel-Based Algorithm for Online Clustering.	ICANN	2005	DBLP DOI BibTeX RDF
1	Aharon Bar-Hillel, Adam Spiro, Eran Stark	Spike Sorting: Bayesian Clustering of Non-Stationary Data.	NIPS	2004	DBLP BibTeX RDF
1	David A. Ross, Jongwoo Lim, Ming-Hsuan Yang	Adaptive Probabilistic Visual Tracking with Incremental Subspace Update.	ECCV	2004	DBLP DOI BibTeX RDF
1	Shen Furao, Osamu Hasegawa	An Incremental Neural Network for Non-stationary Unsupervised Learning.	ICONIP	2004	DBLP DOI BibTeX RDF
1	Chihli Hung, Stefan Wermter	A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering.	ICDM	2003	DBLP DOI BibTeX RDF
1	Stéphane Lecoeuche, Christophe Lurette	Auto-adaptive and Dynamical Clustering Neural Network.	ICANN	2003	DBLP DOI BibTeX RDF
1	Emma Hart, Peter Ross	Exploiting the Analogy between the Immune System and Sparse Distributed Memories.	Genetic Programming and Evolvable Machines	2003	DBLP DOI BibTeX RDF	sparse distributed memory, data-clustering, immune system
1	Nitzi M. Roehl, C. E. Pedreira	An Online Learning Approach: A Methodology for Time Varying Applications.	Neural Computing and Applications	2001	DBLP DOI BibTeX RDF	Non-stationary data, Neural networks, Online training
1	Isaac David Guedalia, Mickey London, Michael Werman	An On-line Agglomerative Clustering Method for Non-Stationary Data.	Neural Computation	1999	DBLP DOI BibTeX RDF
1	Doan B. Hoang, G. Williamson	A Mixture of Global and Local Gated Experts for the Prediction of High Frequency Foreign Exchange Rates.	PRICAI	1998	DBLP DOI BibTeX RDF