Index for mine

Mine, M.R. * 2012: Projection-Based Augmented Reality in Disney Theme Parks

Mine, R. * 2001: recognition method of machine-printed monetary amounts based on the two-dimensional segmentation and the bottom-up parsing, A
* 2005: Building Compact Classifier for Large Character Set Recognition Using Discriminative Feature Extraction
* 2005: Camera-based Kanji OCR for mobile-phones: practical issues

Mine, T.[Takayuki] * 2018: Improved MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay, Japan
* 2020: Novel Method Based on Backscattering for Discriminating Summer Blooms of the Raphidophyte (Chattonella spp.) and the Diatom (Skeletonema spp.) using MODIS Images in Ariake Sea, Japan, A

Minea, G.[Gabriel] * 2020: Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

Minea, I.[Ionut] * 2020: Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

Minei, A.[Asami] * 2022: Using Hyperspatial LiDAR and Multispectral Imaging to Identify Coastal Wetlands Using Gradient Boosting Methods

Mineiro, P. * 1998: Robust Sensor Fusion: Analysis and Application to Audio-Visual Speech Recognition

Minekawa, Y.[Yohei] * 2007: Prediction of sweetness and amino acid content in soybean crops from hyperspectral imagery

Minelli, A.[Annalisa] * 2026: Morphological and Entropy Analysis of Urban Change in Six European Metropolitan Areas Based on Copernicus Land Monitoring Service Products

Minello, G.[Giorgia] * 2016: Edge Centrality via the Holevo Quantity
* 2016: Quantum thermodynamics of time evolving networks
* 2016: Thermodynamic Characterization of Temporal Networks
* 2020: Average Mixing Kernel Signature, The
* 2022: 3D Shape Analysis Through a Quantum Lens: The Average Mixing Kernel Signature
* 2022: Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment
* 2024: GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection
7 for Minello, G.

Minello, L. * 2014: Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method

Minematsu, N. * 2009: Theory of Phase Singularities for Image Representation and its Applications to Object Tracking and Image Matching, A

Minematsu, T.[Tsubasa] * 2015: Adaptive search of background models for object detection in images taken by moving cameras
* 2015: Evaluation of foreground detection methodology for a moving camera
* 2016: Background initialization based on bidirectional analysis and consensus voting
* 2017: Adaptive background model registration for moving cameras
* 2017: Analytics of deep neural network in change detection
* 2020: Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction
* 2023: Improvement of Image Segmentation Model for Handwritten Notebook Analytics
Includes: Minematsu, T.[Tsubasa] Minematsu, T.
7 for Minematsu, T.

Minemura, H. * 1996: Distributed Raid Style Video Server

Minemura, K.[Kazuki] * 2012: JPEG image scrambling without expansion in bitstream size
* 2013: Progressive quality degradation in JPEG compressed image using DC block orientation with rewritable data embedding functionality
* 2017: Novel Sketch Attack for H.264/AVC Format-Compliant Encrypted Video, A
Includes: Minemura, K.[Kazuki] Minemura, K.

Mineo, R.[Raffaele] * 2024: Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography, A

Mineo, S.[Simone] * 2022: UAV-Based Photogrammetry and Infrared Thermography Applied to Rock Mass Survey for Geomechanical Purposes
* 2023: Digital Rock Mass Analysis for the Evaluation of Rockfall Magnitude at Poorly Accessible Cliffs
* 2025: Infrared thermal dense point clouds: A new frontier for remote landslide investigation
Includes: Mineo, S.[Simone] Mineo, S.

Miner, K.[Kimberley] * 2025: Characterizing Sparse Spectral Diversity Within a Homogenous Background: Hydrocarbon Production Infrastructure in Arctic Tundra near Prudhoe Bay, Alaska

Miner, S.[Simon] * 2017: UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery

Minerbo, G.[Gerald] * 1979: MENT: A Maximum Entropy Algorithm for Reconstructing a Source from Projection Data

Miners, B.W. * 2005: Understanding Hand Gestures Using Approximate Graph Matching

Miners, W.B. * 2017: Low-Cost Lane-Determination System Using GNSS/IMU Fusion and HMM-Based Multistage Map Matching, A

Minerva, R.[Roberto] * 2023: Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning

Minervini, M. * 2012: Mouse neuroimaging phenotyping in the cloud
* 2014: Unsupervised and supervised approaches to color space transformation for image coding
* 2015: Classification-aware distortion metric for HEVC intra coding
* 2015: Image Analysis: The New Bottleneck in Plant Phenotyping
* 2015: interactive tool for semi-automated leaf annotation, An
* 2015: Learning to Count Leaves in Rosette Plants
* 2016: Finely-grained annotated datasets for image-based plant phenotyping
* 2016: Leaf segmentation in plant phenotyping: a collation study
Includes: Minervini, M. Minervini, M.[Massimo]
8 for Minervini, M.

Minet, A.[Angele] * 2024: Advancing CubeSats Capabilities: Ground-Based Calibration of Uvsq-Sat NG Satellite's NIR Spectrometer and Determination of the Extraterrestrial Solar Spectrum
Includes: Minet, A.[Angele] Minet, A.[Angèle]

Minet, C. * 2011: Imaging Geodesy: Toward Centimeter-Level Ranging Accuracy With TerraSAR-X

Minett, J.W.[James W.] * 1999: Hybrid Time-Frequency: Texture Compensation Technique for Image Coding

Minetti, C.[Christophe] * 2007: Multifunctional Reading Assistant for the Visually Impaired, A

Minetti, I.[Irene] * 2010: Hierarchical Classification Method for Mammographic Lesions Using Wavelet Transform and Spatial Features, A

Minetto, A.[Alex] * 2024: Code-Based Differential GNSS Ranging for Lunar Orbiters: Theoretical Review and Application to the NaviMoon Observables

Minetto, R.[Rodrigo] * 2008: Satellite Image Segmentation Using Wavelet Transforms Based on Color and Texture Features
* 2009: AffTrack: Robust tracking of features in variable-zoom videos
* 2009: Fast and Robust Object Tracking Using Image Foresting Transform
* 2009: Robust Estimation of Camera Motion Using Optical Flow Models
* 2010: Snoopertext: A multiresolution system for text detection in complex visual scenes
* 2011: Snoopertrack: Text detection and tracking for outdoor videos
* 2011: Text detection and recognition in urban scenes
* 2012: IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
* 2013: T-HOG: An effective gradient-based descriptor for single line text regions
* 2013: Text Line Detection in Document Images: Towards a Support System for the Blind
* 2014: SnooperText: A text detection system for automatic indexing of urban scenes
* 2017: Convolutional neural networks for license plate detection in images
* 2017: Video-Based System for Vehicle Speed Measurement in Urban Roadways, A
* 2019: Hydra: An Ensemble of Convolutional Neural Networks for Geospatial Land Classification
* 2019: Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras, A
* 2021: Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study
* 2023: Leveraging Model Fusion for Improved License Plate Recognition
* 2023: PerceptSent: Exploring Subjectivity in a Novel Dataset for Visual Sentiment Analysis
* 2025: Detection of Pavement Defects on Roads using a Multimodal YOLOv8 with Image and IMU Data
Includes: Minetto, R.[Rodrigo] Minetto, R.
19 for Minetto, R.

Minev, Y.[Yordan] * 2007: Curvewise DET Confidence Regions and Pointwise EER Confidence Intervals Using Radial Sweep Methodology

Minez, R.[Rui] * 2026: Evaluating Low-Cost GNSS Network Densification for Water-Vapor Tomography over an Urban Area: A Case Study over Lisbon

Minezawa, A.[Akira] * 2007: Lossless Coding of Color Images using Block-Adaptive Inter-Color Prediction
* 2023: Memory-efficient and GPU-oriented visual anomaly detection with incremental dimension reduction

Index for "m"