Bind, J.[Jochen]
* 2019: Unmanned Aerial Vehicles (UAVs) for Monitoring Macroalgal Biodiversity: Comparison of RGB and Multispectral Imaging Sensors for Biodiversity Assessments
Binda, L.
* 2009: Photogrammetric reconstruction of the My Son G1 temple in Vietnam
Bindajam, A.A.[Ahmed Ali]
* 2021: Novel Technique for Modeling Ecosystem Health Condition: A Case Study in Saudi Arabia, A
Bindal, P.
* 2019: Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
* 2022: Actor-Centric Tubelets for Real-Time Activity Detection in Extended Videos
Includes: Bindal, P. Bindal, P.[Prashast]
Bindel, D.[David]
* 2016: When is Rotations Averaging Hard?
* 2019: Subspace Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer, A
* 2020: On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
Includes: Bindel, D.[David] Bindel, D.
Bindel, M.
* 2011: Feature selection from high resolution remote sensing data for biotope mapping
Bindelle, J.[Jerome]
* 2019: Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System
* 2020: Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality Heterogeneity? Insight from a Timothy Pasture Case Study in Southern Belgium
* 2021: Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations
* 2023: Creation of a Walloon Pasture Monitoring Platform Based on Machine Learning Models and Remote Sensing
Includes: Bindelle, J.[Jerome] Bindelle, J.[Jérôme] Bindelle, J.[Jérome]
Binder, A.[Alexander]
* 2009: Efficient Classification of Images with Taxonomies
* 2009: procedure of adaptive kernel combination with kernel-target alignment for object classification, A
* 2010: Enhancing Image Classification with Class-wise Clustered Vocabularies
* 2010: Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition, A
* 2010: Shrinking large visual vocabularies using multi-label agglomerative information bottleneck
* 2011: Multi-modal visual concept classification of images via Markov random walk over tags
* 2011: Multi-task Learning via Non-sparse Multiple Kernel Learning
* 2012: On Taxonomies for Multi-class Image Categorization
* 2013: Applications of real-time speed control in rail-bound public transportation systems
* 2013: Enhanced representation and multi-task learning for image annotation
* 2016: Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
* 2016: Controlling explanatory heatmap resolution and semantics via decomposition depth
* 2016: Practical experience with CDN interconnection
* 2017: Explaining Nonlinear Classification Decisions with Deep Taylor Decomposition
* 2017: Object Boundary Detection and Classification with Image-Level Labels
* 2017: Understanding and Comparing Deep Neural Networks for Age and Gender Classification
* 2018: Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data
* 2020: Sideinfnet: A Deep Neural Network for Semi-automatic Semantic Segmentation with Side Information
* 2021: Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers
* 2021: Explanation-Guided Training for Cross-Domain Few-Shot Classification
* 2021: Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
* 2021: Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
* 2022: Discovering Transferable Forensic Features for CNN-Generated Images Detection
* 2022: Toward Scalable and Unified Example-Based Explanation and Outlier Detection
* 2023: Optimizing Explanations by Network Canonization and Hyperparameter Search
* 2023: Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
Includes: Binder, A.[Alexander] Binder, A.
26 for Binder, A.
Binder, B.
* 1996: Image Processing to Overcome Channel Capacity Limitations in Telemicroscopy
Binder, B.J.[Benjamin J.]
* 2018: Characterising shape patterns using features derived from best-fitting ellipsoids
Binder, F.
* 2020: Deep Learning Applied to Water Segmentation
Binder, M.
* 2001: Automated melanoma recognition
Binder, P.[Polina]
* 2016: Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort
Binder, T.
* 1996: How to recover smooth object boundaries in noisy medical images
Bindhu, V.M.
* 2015: Development of a spatio-temporal disaggregation method (DisNDVI) for generating a time series of fine resolution NDVI images
Bindi, D.[Dino]
* 2002: Analysis of the compatibility conditions for the radon projections, with an application to seismology
* 2002: Fourier approach to the natural pixel discretization of brain single-photon emission computed tomography, A
* 2004: Kinetic Parameter Estimation From Renal Measurements With a Three-Headed SPECT System: A Simulation Study
Includes: Bindi, D.[Dino] Bindi, D.
Bindilatti, A.A.
* 2013: Nonlocal Poisson Denoising Algorithm Based on Stochastic Distances, A
Binding, C.[Caren]
* 2019: Effect of Mineral Sediments on Satellite Chlorophyll-a Retrievals from Line-Height Algorithms Using Red and Near-Infrared Bands, The
Binding, C.E.[Caren E.]
* 2021: Consistent Multi-Mission Measures of Inland Water Algal Bloom Spatial Extent Using MERIS, MODIS and OLCI
Bindl, M.[Matilyn]
* 2022: Ambient Formaldehyde over the United States from Ground-Based (AQS) and Satellite (OMI) Observations
Bindlish, E.
* 2017: Assessment of Peanut Pod Maturity
Bindlish, R.
* 2013: Incidence Angle Normalization of Radar Backscatter Data
* 2014: Approach to Constructing a Homogeneous Time Series of Soil Moisture Using SMOS, An
* 2014: Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.
* 2016: Assessment of the SMAP Passive Soil Moisture Product
* 2017: Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products, A
* 2017: Soil Moisture Active/Passive L-Band Microwave Radiometer Postlaunch Calibration
* 2018: AMSR2 Soil Moisture Downscaling Using Temperature and Vegetation Data
* 2018: Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem
* 2020: Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture
* 2020: Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison, The
* 2020: SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections
* 2021: Evaluation of Global Surface Water Temperature Data Sets for Use in Passive Remote Sensing of Soil Moisture
* 2022: Local Scale (3-m) Soil Moisture Mapping Using SMAP and Planet SuperDove
* 2023: Development of High-Resolution Soil Hydraulic Parameters with Use of Earth Observations for Enhancing Root Zone Soil Moisture Product
* 2023: Performance Analysis of Soil Dielectric Models over Organic Soils in Alaska for Passive Microwave Remote Sensing of Soil Moisture, A
Includes: Bindlish, R. Bindlish, R.[Rajat]
15 for Bindlish, R.
Bindschadler, R.
* 2003: Characterizing and Correcting Hyperion Detectors Using Ice-Sheet Images
Bindu, C.S.[C. Shoba]
* 2018: image encryption algorithm using logarithmic function and Henon-chaotic function, An
Bindu, G.[Garikapati]
* 2022: Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection
Bindulal, T.S.
* 2006: Adaptive Scalable Wavelet Difference Reduction Method for Efficient Image Transmission
* 2007: Object Coding using a Shape Adaptive Wavelet Transform with Scalable WDR Method