Sabo, D.[Doron]
* 2019: IM-Net for High Resolution Video Frame Interpolation
Sabo, E.[Eran]
* 2001: Superresolution optical system using three fixed generalized gratings: experimental results
* 2006: System for Computer-Aided Multiresolution Microscopic Pathology Diagnostics
* 2014: Colon Biopsy Classification Using Crypt Architecture
Includes: Sabo, E.[Eran] Sabo, E.[Edmond]
Sabo, K.[Kristian]
* 2023: Multiple Spheres Detection Problem: Center Based Clustering Approach
Sabo, T.O.
* 2011: Challenges in Seafloor Imaging and Mapping With Synthetic Aperture Sonar
Saboia, P.[Priscila]
* 2011: Crowd simulation: applying mobile grids to the social force model
* 2011: Eye specular highlights telltales for digital forensics: A machine learning approach
* 2014: Assessing Cross-Cut Shredded Document Assembly
Sabokrou, M.[Mohammad]
* 2015: Real-time anomaly detection and localization in crowded scenes
* 2016: STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes
* 2017: Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes
* 2017: Fast and accurate detection and localization of abnormal behavior in crowded scenes
* 2018: Adversarially Learned One-Class Classifier for Novelty Detection
* 2018: AVID: Adversarial Visual Irregularity Detection
* 2018: Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes
* 2019: Self-Supervised Representation Learning via Neighborhood-Relational Encoding
* 2021: G2D: Generate to Detect Anomaly
* 2021: Sign Language Production: A Review
* 2022: Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data
Includes: Sabokrou, M.[Mohammad] Sabokrou, M.
11 for Sabokrou, M.
Saboksayr, S.S.[Seyed Saman]
* 2021: Accelerated Graph Learning From Smooth Signals
Sabol, B.M.
* 1993: Image Metrics Approach to Understanding Effects of Terrain and Environment on Performance of Thermal Target Acquisition Systems
Sabolcik, R.M.[Ross M.]
* 1996: Eye tracking apparatus and method employing grayscale threshold values
Sabonghy, E.P.
* 2018: Model-Based Approach to Investigate the Effect of a Long Bone Fracture on Ultrasound Strain Elastography, A
Saboo, R.R.[Rohit R.]
* 2008: large-to-fine-scale shape prior for probabilistic segmentations using a deformable m-rep, A
Saboo, S.[Shivam]
* 2020: Deep Learning And Interactivity For Video Rotoscoping
Saboori, A.[Arash]
* 2019: PET-MRI image fusion using adaptive filter based on spectral and spatial discrepancy
Saboori, E.[Ehsan]
* 2023: DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables
Saboori, M.[Mojtaba]
* 2022: Automated and Improved Methodology to Retrieve Long-time Series of Evapotranspiration Based on Remote Sensing and Reanalysis Data, An
* 2022: Optimum Feature and Classifier Selection for Accurate Urban Land Use/Cover Mapping from Very High Resolution Satellite Imagery
Saboorian, M.M.[Mohammad Mehdi]
* 2010: User Adaptive Clustering for Large Image Databases
Sabor, J.
* 2015: type-1 fuzzy logic algorithm to manage the flow of energy in a stand-alone PV/wind/battery hybrid system, A
* 2018: Possibilistic fuzzy C-means clustering under observer-biased framework
* 2020: new weighted fuzzy c-means based on the collective behaviour of starling birds, A
Sabor, N.[Nabil]
* 2022: Efficient and Accurate Quantized Image Super-Resolution on Mobile Npus, Mobile Ai & Aim 2022 Challenge: Report
* 2022: Real-time Channel Mixing Net for Mobile Image Super-resolution
* 2023: Mixer-based Local Residual Network for Lightweight Image Super-resolution
* 2023: NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results
* 2023: NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results
* 2023: NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results
* 2023: Simple Transformer-style Network for Lightweight Image Super-resolution, A
7 for Sabor, N.
Saborido Rey, F.
* 2006: Comparison of Region and Edge Segmentation Approaches to Recognize Fish Oocytes in Histological Images
Includes: Saborido Rey, F. Saborido-Rey, F.
Saboune, J.[Jamal]
* 2009: People detection and tracking using the Explorative Particle Filtering
* 2011: Visual Blindspot Monitoring System for Safe Lane Changes, A
Sabour, A.[Adel]
* 2022: RDQS: A Geospatial Data Analysis System for Improving Roads Directionality Quality
Sabour, R.M.[Rita Meziati]
* 2019: Emotional State Recognition with Micro-expressions and Pulse Rate Variability
* 2022: Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation
* 2023: UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress
Sabour, S.[Sara]
* 2022: Kubric: A scalable dataset generator
* 2023: RobustNeRF: Ignoring Distractors with Robust Losses
Sabourin, C.
* 2012: Spherical coordinates framed RGB color space dichromatic reflection model based image segmentation: Application to wildland fires' outlines extraction
* 2013: From visual patterns to semantic description: A cognitive approach using artificial curiosity as the foundation
Includes: Sabourin, C. Sabourin, C.[Christophe]
Sabourin, J.L.
* 2014: Affect and Engagement in Game-Based Learning Environments
Sabourin, M.
* 1993: Classifier Combination for Handprinted Digit Recognition
* 1993: Hybrid Contextual Text Recognition with String Matching
Sabourin, R.
* 1986: Preprocessing of Handwritten Signatures from Image Gradient Analysis
* 1988: Segmentation of Handwritten Signature Images Using the Statistics of Directional Data
* 1992: Off-line Identification with Handwritten Signature Images: Survey and Perspectives
* 1992: Off-line signature verification using directional PDF and neural networks
* 1994: extended-shadow-code based approach for off-line signature verification. I. Evaluation of the bar mask definition, An
* 1994: multi-resolution based approach for handwriting segmentation in gray-scale images, A
* 1996: fuzzy ARTMAP-based classification system for detecting cancerous cells, based on the one-class problem approach, A
* 1996: Neural-Network Approach to Off-Line Signature Verification Using Directional PDF, A
* 1996: Pattern Spectrum as a Local Shape Factor for Off-Line Signature Verification
* 1997: Off-Line Signature Verification by Local Granulometric Size Distributions
* 1997: Segmentation of Arabic Cursive Script
* 1997: Shape Matrices as a Mixed Shape Factor for Off-Line Signature Verification
* 1997: Synthetic Parameters for Handwriting Classification
* 1998: Handwriting and Signature: One or Two Personality Identifiers?
* 1998: Improved Model Architecture and Training Phase in an Off-Line HMM-Based Word Recognition System
* 1999: HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition, An
* 2000: New Segmentation Approach for Handwritten Digits, A
* 2001: a priori indicator of the discrimination power of discrete hidden Markov models, An
* 2001: distributed scheme for lexicon-driven handwritten word recognition and its application to large vocabulary problems, A
* 2001: Handwritten isolated word recognition: an approach based on Mutual Information for feature set validation
* 2001: Handwritten month word recognition on Brazilian bank cheques
* 2001: modular system to recognize numerical amounts on Brazilian bank cheques, A
* 2001: Off-line signature verification using HMM for random, simple and skilled forgeries
* 2001: Two-Stage HMM-Based System for Recognizing Handwritten Numeral Strings, A
* 2002: Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
* 2002: Feature sets evaluation for handwritten word recognition
* 2002: hybrid large vocabulary handwritten word recognition system using neural networks with hidden markov models, A
* 2002: On the performance of wavelets for handwritten numerals recognition
* 2002: Segmentation and recognition of handwritten dates
* 2002: string length predictor to control the level building of HMMs for handwritten numeral recognition, A
* 2003: Complementary features combined in an HMM-based system to recognize handwritten digits
* 2003: Feature selection for ensembles: A hierarchical multi-objective genetic algorithm approach
* 2003: Impacts of verification on a numeral string recognition system
* 2003: Integration of contextual information in handwriting recognition systems
* 2003: Intelligent zoning design using multi-objective evolutionary algorithms
* 2003: Lexicon-driven HMM decoding for large vocabulary handwriting recognition with multiple character models
* 2003: low-cost parallel K-means VQ algorithm using cluster computing, A
* 2003: recognition and verification strategy for handwritten word recognition, A
* 2003: recognition of handwritten numeral strings using a two-stage HMM-based method, The
* 2003: Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
* 2004: Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm
* 2004: Segmentation and recognition of handwritten dates: An HMM-MLP hybrid approach
* 2004: Two-stage classification system combining model-based and discriminative approaches
* 2005: Combining Model-based and Discriminative Approaches in a Modular Two-stage Classification System: Application to Isolated Handwritten Digit Recognition
* 2005: comparison of SVM and HMM classifiers in the off-line signature verification, A
* 2005: Improving cascading classifiers with particle swarm optimization
* 2005: Intelligent feature extraction for ensemble of classifiers
* 2005: Recognition and Verification of Unconstrained Handwritten Words
* 2005: synthetic database to assess segmentation algorithms, A
* 2006: Feature selection for ensembles applied to handwriting recognition
* 2006: New Objective Function for Ensemble Selection in Random Subspaces, A
* 2007: Confusion Matrix Disagreement for Multiple Classifiers
* 2007: Human-Centric Off-Line Signature Verification System, A
* 2007: K-Nearest Oracle for Dynamic Ensemble Selection
* 2007: Methodology for the design of NN-based month-word recognizers written on Brazilian bank checks
* 2007: Pairwise fusion matrix for combining classifiers
* 2008: dynamic overproduce-and-choose strategy for the selection of classifier ensembles, A
* 2008: Filtering segmentation cuts for digit string recognition
* 2008: From dynamic classifier selection to dynamic ensemble selection
* 2008: implication of data diversity for a classifier-free ensemble selection in random subspaces, The
* 2008: new HMM training and testing scheme, A
* 2009: Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System
* 2009: Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters
* 2009: Handwritten Word Recognition Using Multi-view Analysis
* 2009: Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications
* 2009: Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs, A
* 2010: Adaptive Incremental Learning with an Ensemble of Support Vector Machines
* 2010: Applying Dissimilarity Representation to Off-Line Signature Verification
* 2010: Boolean Combination of Classifiers in the ROC Space
* 2010: Forest Species Recognition Using Color-Based Features
* 2010: Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach
* 2010: Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs
* 2010: On the memory complexity of the forward-backward algorithm
* 2010: Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers
* 2011: Dynamic Zoning Selection for Handwritten Character Recognition
* 2012: Adaptation of Writer-Independent Systems for Offline Signature Verification
* 2012: Adaptive ROC-based ensembles of HMMs applied to anomaly detection
* 2012: Adaptive selection of ensembles for imbalanced class distributions
* 2012: Dynamic selection of generative-discriminative ensembles for off-line signature verification
* 2012: Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition
* 2012: LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs
* 2012: On the correlation between genotype and classifier diversity
* 2012: Writer verification using texture-based features
* 2013: database for automatic classification of forest species, A
* 2013: Dissimilarity-Based Approach for Biometric Fuzzy Vaults-Application to Handwritten Signature Images, A
* 2013: Handwritten digit segmentation: a comparative study
* 2013: Hybrid writer-independent writer-dependent offline signature verification system
* 2013: Multi-feature extraction and selection in writer-independent off-line signature verification
* 2014: Assessing Textural Features for Writer Identification on Different Writing Styles and Forgeries
* 2014: Dynamic selection of classifiers: A comprehensive review
* 2014: On Meta-learning for Dynamic Ensemble Selection
* 2014: Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking
* 2014: Self-Updating with Facial Trajectories for Video-to-Video Face Recognition
* 2014: Watch-List Screening Using Ensembles Based on Multiple Face Representations
* 2015: adaptive ensemble-based system for face recognition in person re-identification, An
* 2015: Adaptive skew-sensitive ensembles for face recognition in video surveillance
* 2015: Ensembles of exemplar-SVMs for video face recognition from a single sample per person
* 2015: Forest species recognition based on dynamic classifier selection and dissimilarity feature vector representation
* 2015: Improving Writer Identification Through Writer Selection
* 2015: Individual-specific management of reference data in adaptive ensembles for face re-identification
* 2015: META-DES: A dynamic ensemble selection framework using meta-learning
* 2016: Adaptive appearance model tracking for still-to-video face recognition
* 2016: Analyzing features learned for Offline Signature Verification using Deep CNNs
* 2016: Approaching the intra-class variability in multi-script static signature evaluation
* 2016: Meta-regression based pool size prediction scheme for dynamic selection of classifiers
* 2016: Multi-script writer identification using dissimilarity
* 2016: Multiclass ROC Front method for cost-sensitive classification, The
* 2016: ROC-based cost-sensitive classification with a reject option
* 2017: Dynamic ensemble selection VS K-NN: Why and when dynamic selection obtains higher classification performance?
* 2017: Dynamic ensembles of exemplar-SVMs for still-to-video face recognition
* 2017: Generation of Duplicated Off-Line Signature Images for Verification Systems
* 2017: Learning features for offline handwritten signature verification using deep convolutional neural networks
* 2017: Offline handwritten signature verification- Literature review
* 2017: Online pruning of base classifiers for Dynamic Ensemble Selection
* 2017: Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations
* 2018: Dynamic Voting in Multi-view Learning for Radiomics Applications
* 2018: Fixed-sized representation learning from offline handwritten signatures of different sizes
* 2018: framework for dynamic classifier selection oriented by the classification problem difficulty, A
* 2018: Handwritten digit segmentation: Is it still necessary?
* 2018: Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images
* 2019: Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
* 2019: FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection
* 2019: Online local pool generation for dynamic classifier selection
* 2019: Random forest dissimilarity based multi-view learning for Radiomics application
* 2021: Classifier Pool Generation based on a Two-level Diversity Approach
* 2021: Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification, An
* 2021: Novel Random Forest Dissimilarity Measure for Multi-View Learning, A
Includes: Sabourin, R. Sabourin, R.[Robert] Sabourin, Jr., R.[Robert]
127 for Sabourin, R.
Sabov, A.
* 2008: Segmentation of 3D points from range camera data using scanlines
Sabova, J.[Janka]
* 2019: Modelling the Surface of Racing Vessel's Hull by Laser Scanning and Digital Photogrammetry
Includes: Sabova, J.[Janka] Sabová, J.[Janka]