Medaglia, C.[Carlo]
* 2020: Pupil size as a soft biometrics for age and gender classification
* 2025: Automated dual CNN-based feature extraction with SMOTE for imbalanced diabetic retinopathy classification
Medaglia, C.M.[Carlo Maria]
* 2020: On the design of biometric-based user authentication protocol in smart city environment
Medaglia, J.D.
* 2018: Graph Signal Processing Perspective on Functional Brain Imaging, A
Medaglia, S.
* 2019: Documentation and Monitoring of Underwater Archaeological Sites Using 3d Imaging Techniques: the Case Study of the Nymphaeum of Punta Epitaffio (Baiae, Naples)
Medak, D.
* 2016: Analysis Of The Pit Removal Methods In Digital Terrain Models Of Various Resolutions
* 2019: Machine Learning Methods for Classification of the Green Infrastructure in City Areas
* 2019: Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns
* 2020: Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine Learning Classifiers
* 2020: Integration of Multitemporal Sentinel-1 and Sentinel-2 Imagery For Land-cover Classification Using Machine Learning Methods
* 2021: Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia
* 2026: Harmonic Phenology Mapping: From Vegetation Indices to Field Delineation
* 2026: Multi-Scale LiDAR Analysis of Urban Vegetation, Built Morphology, and Population Density in Zagreb
Includes: Medak, D. Medak, D.[Damir]
8 for Medak, D.
Medalia, A.I.
* 1970: Dynamic Shape Factors of Particles
* 1972: Pattern recognition problems in the study of carbon black
Medan, G.
* 2017: Reduced-Dose Imageless Needle and Patient Tracking in Interventional CT Procedures
* 2017: Sparse 3D Radon Space Rigid Registration of CT Scans: Method and Validation Study
Medasani, S.[Swarup]
* 1998: Categorization of Image Databases for Efficient Retrieval Using Robust Mixture Decomposition
* 1999: Are Fuzzy Definitions of Basic Attributes of Image Objects Really Useful?
* 1999: Comparison of Gaussian and Pearson Mixture Modeling for Pattern Recognition and Computer Vision Applications, A
* 2001: Categorization of Image Databases for Efficient Retrieval Using Robust Mixture Decomposition
* 2001: Graph Matching by Relaxation of Fuzzy Assignments
* 2004: Classifier Swarms for Human Detection in Infrared Imagery
* 2005: Multi-View Classifier Swarms for Pedestrian Detection and Tracking
* 2005: Swarm-Based Volition/Attention Framework for Object Recognition, A
* 2011: Multi-object detection and behavior recognition from motion 3D data
* 2011: Strip Histogram Grid for efficient LIDAR segmentation from urban environments
* 2016: Embedded Vision System for Atmospheric Turbulence Mitigation
* 2017: Self-Driving Cars
* 2018: Motion Segmentation Using Spectral Clustering on Indian Road Scenes
Includes: Medasani, S.[Swarup] Medasani, S. Medasani, S.[Shanti]
13 for Medasani, S.
Medathati, N.V.K.[N.V. Kartheek]
* 2010: Local descriptor based on texture of projections
* 2012: Detection and discrimination of disease-related abnormalities based on learning normal cases
* 2015: Improving FREAK Descriptor for Image Classification
* 2015: What can we expect from a V1-MT feedforward architecture for optical flow estimation?
* 2016: Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision
Includes: Medathati, N.V.K.[N.V. Kartheek] Medathati, N.V.K.[N. V. Kartheek]