Save, M.
* 2015: Semi-transparent mirror with hidden camera to assess human emotions
Saveetha, D.
* 2022: Design of Blockchain enabled intrusion detection model for detecting security attacks using deep learning
Saveetha, V.
* 2023: Machine Learning with Data Science-Enabled Lung Cancer Diagnosis and Classification Using Computed Tomography Images
Saveleva, I.
* 2018: ALFA: Agglomerative Late Fusion Algorithm for Object Detection
Saveliev, A.[Anatoly]
* 2021: Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia
Savelli, B.[Benedetta]
* 2017: Retinal Vessel Segmentation Through Denoising and Mathematical Morphology
* 2019: Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms
Savelonas, M.[Michalis]
* 2013: 3D Object Partial Matching Using Panoramic Views
Savelonas, M.A.[Michalis A.]
* 2005: Variable Background Active Contour Model for Automatic Detection of Thyroid Nodules in Ultrasound Images, A
* 2006: Active Contour Model Guided by LBP Distributions, An
* 2006: LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation, An
* 2006: Segmentation of Medical Images with Regional Inhomogeneities
* 2007: Adaptive Vision System for Segmentation of Echographic Medical Images Based on a Modified Mumford-Shah Functional
* 2007: Bimodal Texture Segmentation with the Lee-Seo Model
* 2008: LBP-guided active contours
* 2011: 2D-GE image segmentation based on level-sets
* 2012: Entropy-based spatially-varying adjustment of active contour parameters
* 2012: Unsupervised 2D gel electrophoresis image segmentation based on active contours
* 2013: Self-adjusted active contours using multi-directional texture cues
* 2014: Automated Adjustment of Region-Based Active Contour Parameters Using Local Image Geometry
* 2016: Fisher encoding of differential fast point feature histograms for partial 3D object retrieval
* 2018: Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data
* 2022: Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey
Includes: Savelonas, M.A.[Michalis A.] Savelonas, M.A.
15 for Savelonas, M.A.
Savelsberg, R.[Rene]
* 2019: Variable Step-Size Discrete Dynamic Programming for Vehicle Speed Trajectory Optimization
* 2024: Auxiliaries' power and energy demand prediction of battery electric vehicles using system identification and deep learning
Savelyev, I.[Ivan]
* 2018: Airborne Remote Sensing of the Upper Ocean Turbulence during CASPER-East
* 2022: Experimental Study on Measuring Breaking-Wave Bubbles with LiDAR Remote Sensing, An
Savelyev, T.G.
* 2007: Investigation of Time-Frequency Features for GPR Landmine Discrimination
* 2010: Modified Kirchhoff Migration for UWB MIMO Array-Based Radar Imaging
Savencu, O.[Olivian]
* 2023: Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
Saver, J.L.[Jeffrey L.]
* 2015: Probabilistic Labeling of Cerebral Vasculature on MR Angiography
Saveriano, M.[Matteo]
* 2017: Human-aware motion reshaping using dynamical systems
Savery, D.[David]
* 2011: Smooth contour coding with minimal description length active grid segmentation techniques
Saveski, M.[Martin]
* 2014: Joint semi-supervised learning of Hidden Conditional Random Fields and Hidden Markov Models