Clinchant, S.[Stephane]
* 2011: Semantic combination of textual and visual information in multimedia retrieval
* 2015: Adapted Domain Specific Class Means
* 2016: Unsupervised Domain Adaptation with Regularized Domain Instance Denoising
* 2017: Discrepancy-Based Networks for Unsupervised Domain Adaptation: A Comparative Study
* 2022: Learning with Label Noise for Image Retrieval by Selecting Interactions
Includes: Clinchant, S.[Stephane] Clinchant, S.[Stéphane] Clinchant, S.
Cline, C.C.
* 2015: Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms
Cline, D.[David]
* 2007: Fast 8-Bit Median Filtering Based on Separability
* 2015: Learning-Based Algal Bloom Event Recognition for Oceanographic Decision Support System Using Remote Sensing Data
Includes: Cline, D.[David] Cline, D.[Danelle]
Cline, D.W.[Donald W.]
* 2007: Modeling Active Microwave Remote Sensing of Snow Using Dense Media Radiative Transfer (DMRT) Theory With Multiple-Scattering Effects
Cline, H.
* 1987: Marching Cubes: A High Resolution 3D Surface Construction Algorithm
Cline, H.T.[Hollis T.]
* 2002: Multiphoton Imaging of Neurons in Living Tissue: Acquisition and Analysis of Time-Lapse Morphological Data
Clingensmith, C.M.[Christopher M.]
* 2017: Prediction of Soil Physical and Chemical Properties by Visible and Near-Infrared Diffuse Reflectance Spectroscopy in the Central Amazon
Clini, P.
* 2013: All-in-One Laser Scanning Methods for Surveying, Representing and Sharing Information on Archaeology. via Flaminia and the Furlo Tunnel Complex
* 2013: Palladiolibrary Geo-Models: An Open 3D Archive to Manage and Visualize Information-Communication Resources About Palladio, The
* 2015: Extending a Mobile Device with Low-Cost 3D Modeling and Building-Scale Mapping Capabilities, for Application in Architecture and Archaeology
* 2015: From TLS To HBIM. High Quality Semantically-Aware 3D Modeling of Complex Architecture
* 2016: Sfm Technique And Focus Stacking For Digital Documentation Of Archaeological Artifacts
* 2017: Virtual in Real. Interactive Solutions for Learning And Communication In the National Archaeological Museum of Marche
* 2019: Integrated Survey of Narrow Spaces and Underground Architecture: The Case Study of Campana Caves Bas-reliefs, The
7 for Clini, P.
Clint, M.
* 1987: Improved Parallel Thinning Algorithm, An
Clinthorne, N.H.
* 1997: Grouped-coordinate ascent algorithms for penalized-likelihood transmission image reconstruction
* 2000: Penalized weighted least-squares image reconstruction for dual energy X-ray transmission tomography
* 2004: Modified Uniform Cramer-Rao Bound for Multiple Pinhole Aperture Design, A
Clinton, J.[John]
* 2022: Low-Cost GNSS and Real-Time PPP: Assessing the Precision of the u-blox ZED-F9P for Kinematic Monitoring Applications
Clinton, N.[Nick]
* 2006: Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
* 2011: Automatic Training Site Selection of Agricultural Crop Classification: A Case Study on Karacabey Plain, Turkey
* 2014: Circa 2010 Thirty Meter Resolution Forest Map for China, A
* 2014: Global-Scale Associations of Vegetation Phenology with Rainfall and Temperature at a High Spatio-Temporal Resolution
* 2015: Geographic stacking: Decision fusion to increase global land cover map accuracy
* 2017: mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform, A
* 2018: Operational Before-After-Control-Impact (BACI) Designed Platform for Vegetation Monitoring at Planetary Scale, An
* 2020: Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine
* 2022: Estimating building height in China from ALOS AW3D30
* 2022: Regional Monitoring of Fall Armyworm (FAW) Using Early Warning Systems
Includes: Clinton, N.[Nick] Clinton, N. Clinton, N.[Nicholas]
10 for Clinton, N.
Clinton, N.E.[Nicholas E.]
* 2018: Historical and Operational Monitoring of Surface Sediments in the Lower Mekong Basin Using Landsat and Google Earth Engine Cloud Computing