Index for lins

Lins, M.[Marie] * 2022: WaterMaskAnalyzer (WMA): A User-Friendly Tool to Analyze and Visualize Temporal Dynamics of Inland Water Body Extents

Lins, R.C.[Regina Camara] * 2017: Assessment of Chlorophyll: A Remote Sensing Algorithms in a Productive Tropical Estuarine-Lagoon System
* 2018: Multivariate Analysis Framework to Detect Key Environmental Factors Affecting Spatiotemporal Variability of Chlorophyll-a in a Tropical Productive Estuarine-Lagoon System, A
* 2021: Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery

Lins, R.D.[Rafael D.] * 2002: Generation of Images of Historical Documents by Composition of their Components
* 2004: Efficient Removal of Noisy Borders from Monochromatic Documents
* 2004: New Algorithm for Skew Detection in Images of Documents, A
* 2004: New File Format for Decorative Tiles, A
* 2005: Automatically Detecting Symmetries in Decorative Tiles
* 2005: Background Removal of Document Images Acquired Using Portable Digital Cameras
* 2006: BigBatch: An Environment for Processing Monochromatic Documents
* 2007: Assessing and Improving the Quality of Document Images Acquired with Portable Digital Cameras
* 2007: Color Document Synthesis as a Compression Strategy
* 2007: Enhancing Document Images Acquired Using Portable Digital Cameras
* 2007: Generating Color Documents from Segmented and Synthetic Elements
* 2008: Improving the Border Detection and Image Enhancement Algorithms in Tableau
* 2009: Efficient Removal of Noisy Borders of Monochromatic Documents
* 2009: Enhancing the Quality of Color Documents with Back-to-Front Interference
* 2009: Image Classification to Improve Printing Quality of Mixed-Type Documents
* 2009: Taxonomy for Noise in Images of Paper Documents: The Physical Noises, A
* 2010: Correcting Book Binding Distortion in Scanned Documents
* 2010: Enhancing the Filtering-Out of the Back-to-Front Interference in Color Documents with a Neural Classifier
* 2010: Generalizing Tableau to Any Color of Teaching Boards
* 2010: HistDoc: A Toolbox for Processing Images of Historical Documents
* 2010: ICFHR 2010 Contest: Quantitative Evaluation of Binarization Algorithms
* 2010: New Method for Text-Line Segmentation for Warped Documents, A
* 2011: Automatic Method for Enhancing Character Recognition in Degraded Historical Documents, An
* 2011: Automatically Discriminating between Digital and Scanned Photographs
* 2011: Correcting Specular Noise in Multiple Images of Photographed Documents
* 2011: Using Readers' Highlighting on Monochromatic Documents for Automatic Text Transcription and Summarization
* 2012: Automatic content recognition of teaching boards in the Tableau platform
* 2013: Application of Enhanced-2D-CWT in Topographic Images for Mapping Landslide Risk Areas
* 2013: Efficient Algorithm for Segmenting Warped Text-Lines in Document Images, An
* 2013: Removing Shade and Specular Noise in Images of Objects and Documents Acquired with a 3D-Scanner
* 2013: Shading Removal of Illustrated Documents
* 2015: Binarizing complex scanned documents
* 2019: Editorial for special issue on Advanced Topics in Document Analysis and Recognition
Includes: Lins, R.D.[Rafael D.] Lins, R.D.[Rafael Dueire] Lins, R.D.
33 for Lins, R.D.

Linscott, I.R. * 2011: Smoothing Criteria for Regularized Matrix Inversion of Bistatic Radar Echoes

Linsen, L.[Lars] * 2002: Fan Clouds: An Alternative to Meshes
* 2016: Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI
* 2020: Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks, The

Linsey, J.[Julie] * 2013: Mechanix: A Sketch-Based Tutoring and Grading System for Free-Body Diagrams

Linsinger, S. * 2013: Shadows of Previous Days: A Journey into Digital Reconstruction

Linsker, R. * 1988: Self-organization in a perceptual network

Linsky, E. * 2014: method of H.264 video watermarking robust to attack on I and P frames by removal, A

Linsley, D. * 2017: What are the Visual Features Underlying Human Versus Machine Vision?
* 2022: How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition
Includes: Linsley, D. Linsley, D.[Drew]

Linstead, E.[Erik] * 2018: Evaluation of Spatial Generalization Characteristics of a Robust Classifier as Applied to Coral Reef Habitats in Remote Islands of the Pacific Ocean
* 2019: Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers
* 2020: Machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data, A
* 2021: Assessing the Vertical Displacement of the Grand Ethiopian Renaissance Dam during Its Filling Using DInSAR Technology and Its Potential Acute Consequences on the Downstream Countries
* 2021: Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking, A

Linstedt, A.D. * 2009: Active Mask Segmentation of Fluorescence Microscope Images

Index for "l"


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