Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Alexei Pozdnoukhov
2010 – today
- 2012
[j3]Loris Foresti, Mikhail F. Kanevski, Alexei Pozdnoukhov: Kernel-Based Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar. IEEE T. Geoscience and Remote Sensing 50(8): 2954-2967 (2012)
[c18]Felix Kling, Alexei Pozdnoukhov: When a city tells a story: urban topic analysis. SIGSPATIAL/GIS 2012: 482-485- 2011
[c17]Alexei Pozdnoukhov, Christian Kaiser: Space-time dynamics of topics in streaming text. GIS-LBSN 2011: 1-8
[c16]Alexei Pozdnoukhov, Christian Kaiser: Area-to-point kernel regression on streaming data. GIS-IWGS 2011: 33-36
[c15]Alexei Pozdnoukhov, Christian Kaiser: Scalable local regression for spatial analytics. GIS 2011: 361-364- 2010
[c14]Alexei Pozdnoukhov, Fergal Walsh: Exploratory novelty identification in human activity data streams. GIS-IWGS 2010: 59-62
[c13]
[c12]Christian Kaiser, Fergal Walsh, Carson J. Q. Farmer, Alexei Pozdnoukhov: User-Centric Time-Distance Representation of Road Networks. GIScience 2010: 85-99
2000 – 2009
- 2009
[c11]S. B. Bai, J. Wang, Alexei Pozdnoukhov, Mikhail F. Kanevski: Validation of Logistic Regression Models for Landslide Susceptibility Maps. CSIE (2) 2009: 355-358
[c10]Alexei Pozdnoukhov: Dynamic network data exploration through semi-supervised functional embedding. GIS 2009: 372-379
[c9]Loris Foresti, Devis Tuia, Alexei Pozdnoukhov, Mikhail F. Kanevski: Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields. ICANN (2) 2009: 933-943- 2008
[c8]Alexei Pozdnoukhov, Mikhail F. Kanevski: GeoKernels: modeling of spatial data on geomanifolds. ESANN 2008: 277-282
[c7]S. B. Bai, J. Wang, F. Y. Zhang, Alexei Pozdnoukhov, Mikhail F. Kanevski: Prediction of Landslide Susceptibility Using logistic Regression: A Case Study in Bailongjiang River Basin, China. FSKD (4) 2008: 647-651
[c6]Mikhail F. Kanevski, Vadim Timonin, Alexei Pozdnoukhov: Automatic Decision-Oriented Mapping of Pollution Data. ICCSA (1) 2008: 678-691
[c5]Devis Tuia, Frédéric Ratle, Fabio Pacifici, Alexei Pozdnoukhov, Mikhail F. Kanevski, Fabio Del Frate, Domenico Solimini, William J. Emery: Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling. IGARSS (4) 2008: 73-76
[c4]Devis Tuia, Fabio Pacifici, Alexei Pozdnoukhov, Christian Kaiser, Domenico Solimini, William J. Emery: Very-High Resolution Image Classification using Morphological Operators and SVM. IGARSS (4) 2008: 220-223- 2007
[j2]Mikhail F. Kanevski, Alexei Pozdnoukhov, Vadim Timonin, Michel Maignan: Mapping of environmental data using kernel-based methods. Revue Internationale de Géomatique 17(3-4): 309-331 (2007)- 2006
[j1]Alexei Pozdnoukhov, Samy Bengio: Invariances in kernel methods: From samples to objects. Pattern Recognition Letters 27(10): 1087-1097 (2006)
[c3]Alexei Pozdnoukhov, Samy Bengio: Graph-based transformation manifolds for invariant pattern recognition with kernel methods. ICPR (4) 2006: 956
[c2]Alexei Pozdnoukhov, Samy Bengio: Graph-based transformation manifolds for invariant pattern recognition with kernel methods. ICPR (3) 2006: 1228-1231- 2004
[c1]Alexei Pozdnoukhov, Samy Bengio: Tangent Vector Kernels for Invariant Image Classification with SVMs. ICPR (3) 2004: 486-489
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-01-06 20:27 CET by the dblp team



