569 results on '"Gustau Camps-Valls"'
Search Results
152. Retrieval of Case 2 Water Quality Parameters with Machine Learning.
153. Sparsity-driven Digital Terrain Model Extraction.
154. Cloud detection machine learning algorithms for PROBA-V.
155. Randomized kernels for large scale Earth observation applications.
156. Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes.
157. Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models.
158. Deep Gaussian Processes for geophysical parameter retrieval.
159. Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes.
160. Randomized RX for target detection.
161. Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization.
162. Kernel Anomalous Change Detection for Remote Sensing Imagery.
163. A deep network approach to multitemporal cloud detection.
164. A Perspective on Gaussian Processes for Earth Observation.
165. Nonlinear Cook distance for Anomalous Change Detection.
166. Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences.
167. Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations.
168. Living in the Physics and Machine Learning Interplay for Earth Observation.
169. Spectral band selection for vegetation properties retrieval using Gaussian processes regression.
170. Information Theory in Density Destructors.
171. Consistent regression of biophysical parameters with kernel methods.
172. Deep Importance Sampling based on Regression for Model Inversion and Emulation.
173. Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes.
174. Convolutional Neural Networks for Multispectral Image Cloud Masking.
175. Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference.
176. Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks.
177. Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval.
178. Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness.
179. The Recycling Gibbs sampler for efficient learning.
180. Group Importance Sampling for particle filtering and MCMC.
181. Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference.
182. Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes.
183. Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks.
184. Remote Sensing Image Classification With Large-Scale Gaussian Processes.
185. Joint Gaussian Processes for Biophysical Parameter Retrieval.
186. Signal-to-noise ratio in reproducing kernel Hilbert spaces.
187. Physics-aware Gaussian processes in remote sensing.
188. Sensitivity maps of the Hilbert-Schmidt independence criterion.
189. Assessing the relationship between microwave vegetation optical depth and gross primary production.
190. Foreword to the Special Issue on IGARSS 2018.
191. Land use classification over smallholding areas in the European Common Agricultural Policy framework
192. Estimation of vegetation traits with kernel NDVI
193. Latent force models for earth observation time series prediction.
194. Nonlinear Time-Series Adaptation for Land Cover Classification.
195. Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation.
196. Computer Science Meets Ecology (Dagstuhl Seminar 17091).
197. Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression.
198. Compensatory water effects link yearly global land CO2 sink changes to temperature.
199. Optimized Kernel Entropy Components.
200. Active emulation of computer codes with Gaussian processes - Application to remote sensing.
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