Kessabi, R.[Ridouane]
* 2023: Analysis of Relationship between Grain Yield and NDVI from MODIS in the Fez-Meknes Region, Morocco
Kessal, L.
* 1995: Evaluation of edge detectors performances with a discrete expression of Canny's criteria
* 1997: Efficient ASIC and FPGA Implementations of IIR Filters for Real Time Edge Detection
* 2000: Reconfigurable Hardware for Real Time Image Processing
* 2003: Real-time image processing with dynamically reconfigurable architecture
* 2004: Design flexibility using FPGA dynamical reconfiguration
* 2007: Erratum to Real-time FPGA implementation of Hough Transform using gradient and CORDIC algorithm
* 2008: Reconfigurable computing: design methodology and hardware tasks scheduling for real-time image processing
Includes: Kessal, L. Kessal, L.[Lounis]
7 for Kessal, L.
Kessel, P.[Pan]
* 2022: Towards robust explanations for deep neural networks
* 2024: Diffeomorphic Counterfactuals With Generative Models
Kessel, S.[Silke]
* 2010: Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence: A Pilot Study
Kesselman, C.
* 1996: Near-Real-Time Satellite Image-Processing: Metacomputing in C++
Kessens, J.M.[Judith M.]
* 2010: Challenges in 3D Geo Information and Participatory Design and Decision
Kessentini, A.[Amina]
* 2016: Fast mode decision algorithm for H.264/SVC enhancement layer
* 2019: Fast inter-prediction algorithms for spatial Scalable High efficiency Video Coding SHVC
Kessentini, Y.
* 2005: Handwritten document segmentation using hidden Markov random fields
* 2007: Multi-stream Approach to Off-Line Handwritten Word Recognition, A
* 2008: Multi-script handwriting recognition with N-streams low level features
* 2009: Multi-Lingual Recognition System for Arabic and Latin Handwriting, A
* 2010: Dealing with Precise and Imprecise Decisions with a Dempster-Shafer Theory Based Algorithm in the Context of Handwritten Word Recognition
* 2010: Off-line handwritten word recognition using multi-stream hidden Markov models
* 2011: Dempster-Shafer Based Rejection Strategy for Handwritten Word Recognition
* 2011: Optimized Multi-stream Decoding Algorithm for Handwritten Word Recognition, An
* 2013: Word Spotting and Regular Expression Detection in Handwritten Documents
* 2015: Dempster-Shafer Theory based combination of handwriting recognition systems with multiple rejection strategies, A
* 2015: Keyword spotting in handwritten documents based on a generic text line HMM and a SVM verification
* 2019: HMM Based Keyword Spotting System in Printed/Handwritten Arabic/Latin Documents with Identification Stage
* 2019: Hybrid HMM/DNN System for Arabic Handwriting Keyword Spotting
* 2019: Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks
* 2019: Out of vocabulary word detection and recovery in Arabic handwritten text recognition
* 2021: Few-shot Learning Approach for Historical Ciphered Manuscript Recognition, A
* 2021: Multi-task learning for simultaneous script identification and keyword spotting in document images
* 2021: Progressive Learning With Anchoring Regularization for Vehicle Re-Identification
* 2021: Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep Residual Networks
* 2022: DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
* 2022: DocEnTr: An End-to-End Document Image Enhancement Transformer
* 2022: Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement
* 2022: Few shots are all you need: A progressive learning approach for low resource handwritten text recognition
* 2022: Introduction to the special section on intelligent systems and pattern recognition (SS:ISPR20)
* 2022: One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition
* 2022: Transformer-based approach for joint handwriting and named entity recognition in historical document
* 2023: MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognition
* 2024: Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents
Includes: Kessentini, Y. Kessentini, Y.[Yousri]
28 for Kessentini, Y.
Kessi, L.[Louisa]
* 2021: Unsupervised Recognition of the Logical Structure of Business Documents Based on Spatial Relationships
Kessler, A.[Ash]
* 2015: Multi-objective Detector and Tracker Parameter Optimization via NSGA-II
Kessler, C.[Carsten]
* 2007: Algorithm, Implementation and Application of the SIM-DL Similarity Server
* 2009: Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags
Kessler, D.
* 1995: Study of the subjective performance of a range of MPEG-2 encoders
Kessler, F.C.[Fritz C.]
* 2020: LionVu 2.0 Usability Assessment for Pennsylvania, United States
Kessler, H.
* 2013: Transsituational Individual-Specific Biopsychological Classification of Emotions
Kessler, M.L.
* 2009: Stochastic Approach to Estimate the Uncertainty Involved in B-Spline Image Registration, A
Kessler, P.D.
* 2013: CEOS Visualization Environment (COVE) Tool for Intercalibration of Satellite Instruments
Kessler, R.[Roman]
* 2021: Fingerprints, forever young?
Kessler, R.M.
* 1996: Accurate localization of cortical convolutions in MR brain images
* 1997: Comparison and Evaluation of Retrospective Intermodality Registration Techniques
* 1999: Retrospective intermodality registration techniques for images of the head: surface-based versus volume-based
Kessler, V.
* 2017: Pain recognition with camera photoplethysmography
* 2021: Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database
Includes: Kessler, V. Kessler, V.[Viktor]
Kessomkiat, W.
* 2011: Satellite-Observed Urbanization Characters in Shanghai, China: Aerosols, Urban Heat Island Effect, and Land-Atmosphere Interactions
Kessous, L.[Loic]
* 2003: Design and Use of Some New Digital Musical Instruments
Includes: Kessous, L.[Loic] Kessous, L.[Loïc]
Kessy, S.J.[Suzan Joseph]
* 2022: Direct Alignment of Narrow Field-of-View Hyperspectral Data and Full-View RGB Image
* 2023: Hyperspectral Imaging of In-Site Stained Glasses: Illumination Variation Compensation Using Two Perpendicular Scans