Vain, A.[Ants]
* 2009: Topographic and Distance Effects in Laser Scanner Intensity Correction
* 2021: Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials, The
* 2021: Automated Machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches, An
* 2021: Evaluation of the Effects of UAS Flight Parameters on Digital Aerial Photogrammetry Processing and Dense-Cloud Production Quality in a Scots Pine Forest, An
* 2022: Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites, The
* 2022: Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation
Vain, J.
* 2008: Polynomial based approach in analysis and detection of surgeon's motions
Vaina, L.M.[Lucia M.]
* 1991: Object Structure and Action Requirements: A Compatibility Model for Functional Recognition
* 1992: Testing computational theories of motion discontinuities: A psychophysical study
Vainikainen, P.
* 2003: Single-reference near-field calibration procedure for step-frequency ground penetrating radar
Vainoras, A.[Alfonsas]
* 2007: Parameter System for Human Physiological Data Representation and Analysis
Vainshtein, R.[Roman]
* 2023: DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility
Vainstein, J.[Jonathan]
* 2014: Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos