Index for volp

Volpato, G.[Gabriela] * 2024: Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning

Volpato, M.M.L. * 2016: Characterization And Spectral Monitoring Of Coffee Lands In Brazil
* 2016: Geotechnologies For The Characterization Of Specialty Coffee Environments Of Mantiqueira De Minas In Brazil
* 2018: Evaluating Precipitation Estimates from Eta, TRMM and CHRIPS Data in the South-Southeast Region of Minas Gerais State Brazil
Includes: Volpato, M.M.L. Volpato, M.M.L.[Margarete Marin Lordelo]

Volpe, E.[Evelina] * 2023: Procedure for the Quantitative Comparison of Rainfall and DInSAR-Based Surface Displacement Time Series in Slow-Moving Landslides: A Case Study in Southern Italy, A

Volpe, F. * 1999: influence of principal component analysis on the spatial structure of a multispectral dataset, The

Volpe, G.[Gualtiero] * 2003: Analysis of Expressive Gesture: The EyesWeb Expressive Gesture Processing Library
* 2003: Multimodal Analysis of Expressive Gesture in Music and Dance Performances
* 2005: Subject Interfaces: Measuring Bodily Activation During an Emotional Experience of Music
* 2007: Automatic Classification of Expressive Hand Gestures on Tangible Acoustic Interfaces According to Laban's Theory of Effort
* 2007: Improving the Believability of Virtual Characters Using Qualitative Gesture Analysis
* 2007: Validation of an Algorithm for Segmentation of Full-Body Movement Sequences by Perception: A Pilot Experiment
* 2008: Emotional entrainment in music performance
* 2008: Technique for automatic emotion recognition by body gesture analysis
* 2009: Gesture Saliency: A Context-Aware Analysis
* 2009: Towards Analysis of Expressive Gesture in Groups of Users: Computational Models of Expressive Social Interaction
* 2010: System for Real-Time Multimodal Analysis of Nonverbal Affective Social Interaction in User-Centric Media, A
* 2011: Toward a Minimal Representation of Affective Gestures
* 2016: Automated Laughter Detection From Full-Body Movements
* 2016: Using the Audio Respiration Signal for Multimodal Discrimination of Expressive Movement Qualities
* 2017: Guest Editorial: Towards Machines Able to Deal with Laughter
* 2019: Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm
* 2020: European Radiometry Buoy and Infrastructure (EURYBIA): A Contribution to the Design of the European Copernicus Infrastructure for Ocean Colour System Vicarious Calibration
* 2020: Improving the Retrieval of Carbon-Based Phytoplankton Biomass from Satellite Ocean Colour Observations
* 2020: Virtual Geostationary Ocean Color Sensor to Analyze the Coastal Optical Variability, A
* 2022: Automatic Detection of Reflective Thinking in Mathematical Problem Solving Based on Unconstrained Bodily Exploration
* 2022: Change Matters! Measuring the Effect of Changing the Leader in Joint Music Performances, The
* 2023: Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction
* 2023: Modeling Multiple Temporal Scales of Full-Body Movements for Emotion Classification
Includes: Volpe, G.[Gualtiero] Volpe, G. Volpe, G.[Gianluca]
23 for Volpe, G.

Volpe, N.J.[Nicholas J.] * 2022: High-Speed Balanced-Detection Visible-Light Optical Coherence Tomography in the Human Retina Using Subpixel Spectrometer Calibration

Volpe, Y.[Yary] * 2013: Improving surface reconstruction in shape from shading using easy-to-set boundary conditions
* 2015: Methods for Predicting Spectral Response of Fibers Blends
* 2018: Original strategy for avoiding over-smoothing in SFS problem resolution
* 2020: practical methodology for computer-aided design of custom 3D printable casts for wrist fractures, A

Volpel, B.[Bernd] * 1996: Scale-Invariant Image Recognition Based on Higher-Order Autocorrelation Features
Includes: Volpel, B.[Bernd] Völpel, B.[Bernd] (Maybe also Voelpel, B.)

Volpi, I.[Iride] * 2021: Non-Parametric Statistical Approaches for Leaf Area Index Estimation from Sentinel-2 Data: A Multi-Crop Assessment

Volpi, M.[Michele] * 2012: Discovering relevant spatial filterbanks for VHR image classification
* 2012: Memory-Based Cluster Sampling for Remote Sensing Image Classification
* 2014: Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM
* 2014: Semisupervised Manifold Alignment of Multimodal Remote Sensing Images
* 2014: Unsupervised Alignment of Image Manifolds with Centrality Measures
* 2015: Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood
* 2015: Semantic segmentation of urban scenes by learning local class interactions
* 2015: Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification
* 2015: Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis
* 2016: Learning rotation invariant convolutional filters for texture classification
* 2017: Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks
* 2017: Rotation Equivariant Vector Field Networks
* 2018: Decision Fusion With Multiple Spatial Supports by Conditional Random Fields
* 2018: Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
* 2018: Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis
* 2018: Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models
Includes: Volpi, M.[Michele] Volpi, M.
16 for Volpi, M.

Volpi, N.C. * 2014: Cat is on the Mat. or is it a Dog? Dynamic Competition in Perceptual Decision Making, The

Volpi, R.[Riccardo] * 2017: Curriculum Dropout
* 2018: Adversarial Feature Augmentation for Unsupervised Domain Adaptation
* 2019: Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets
* 2020: Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
* 2020: Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach
* 2021: Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
* 2021: Explainable Deep Classification Models for Domain Generalization
* 2021: Learning Unbiased Representations via Mutual Information Backpropagation
* 2022: On the Road to Online Adaptation for Semantic Image Segmentation
* 2022: Semantic Image Segmentation: Two Decades of Research
* 2023: Reliability in Semantic Segmentation: Are we on the Right Track?
Includes: Volpi, R.[Riccardo] Volpi, R.
11 for Volpi, R.

Volpp, M.[Michael] * 2022: What Matters For Meta-Learning Vision Regression Tasks?

Index for "v"


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