Suk, H.I.[Heung Il]
* 2006: HMM-Based Gait Recognition with Human Profiles
* 2008: Recognizing hand gestures using dynamic Bayesian network
* 2008: Robust modeling and recognition of hand gestures with dynamic Bayesian network
* 2009: Analyzing human interactions with a network of dynamic probabilistic models
* 2010: Hand gesture recognition based on dynamic Bayesian network framework
* 2011: Network of Dynamic Probabilistic Models for Human Interaction Analysis, A
* 2011: Subject and class specific frequency bands selection for multiclass motor imagery classification
* 2013: Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection
* 2013: Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces, A
* 2013: Person authentication from neural activity of face-specific visual self-representation
* 2014: Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis
* 2014: Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis
* 2014: Modeling crowd motions for abnormal activity detection
* 2014: Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation
* 2014: Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification
* 2014: View-Invariant 3D Action Recognition Using Spatiotemporal Self-Similarities from Depth Camera
* 2015: Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes
* 2015: Multi-view Classification for Identification of Alzheimer's Disease
* 2016: Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis
* 2016: Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis
* 2016: Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments
* 2022: Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics, A
* 2023: Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model
* 2024: Deep Efficient Continuous Manifold Learning for Time Series Modeling
* 2024: EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning
* 2024: Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis, A
Includes: Suk, H.I.[Heung Il] Suk, H.I.[Heung-Il] Suk, H.I. Suk, H.I.[Heung-II]
26 for Suk, H.I.
Suk, H.J.[Hyeon Jeong]
* 2022: GP22: A Car Styling Dataset for Automotive Designers
Includes: Suk, H.J.[Hyeon Jeong] Suk, H.J.[Hyeon-Jeong]
Suk, J.H.[Jung Hee]
* 2015: Fixed Homography-Based Real-Time SW/HW Image Stitching Engine for Motor Vehicles
Includes: Suk, J.H.[Jung Hee] Suk, J.H.[Jung-Hee]
Suk, M.[Min_Soo]
* 1983: New Image Segmentation Technique Based on Partition Mode Test, A
* 1986: Polynomial Time Algorithm for Subpattern Matching, A
* 1988: On Machine Recognition of Hand-Printed Chinese Characters by Feature Relaxation
* 1991: Pose Verification as an Optimal Assignment Problem
* 1991: Recognition and Localization of Objects with Curved Surfaces
* 1991: Sensitivity Analysis for Matching and Pose Computation Using Dihedral Junctions
* 1995: Representation and Reconstruction of Polygons and Polyhedra Using Hierarchical Extended Gaussian Images
* 2014: Real-Time Mobile Facial Expression Recognition System: A Case Study
* 2015: Real-Time Facial Expression Recognition on Smartphones
Includes: Suk, M.[Min_Soo] Suk, M. Suk, M.[Myunghoon]
9 for Suk, M.
Suk, M.K.[Mi Kyung]
* 2020: Clutter Elimination Algorithm for Non-Precipitation Echo of Radar Data Considering Meteorological and Observational Properties in Polarimetric Measurements
* 2024: AIDER: Aircraft Icing Potential Area DEtection in Real-Time Using 3-Dimensional Radar and Atmospheric Variables
Includes: Suk, M.K.[Mi Kyung] Suk, M.K.[Mi-Kyung]
Suk, M.S.[Min Soo]
* 1984: Curvilinear Feature Extraction Using Minimum Spanning Trees
* 1984: Edge Extraction Technique for Noisy Images, An
* 1984: New Measures of Similarity between Two Contours Based on Optimal Bivariate Transforms
* 1984: Object-Detection Algorithm Based on the Region-Adjacency Graph, An
* 1986: Region Adjacency and Its Application to Object Detection
* 1990: Three-Dimensional Object Recognition on the Connection Machine
* 1992: Qualitative Features and the Generalized Hough Transform
* 1995: Multilayer Self-Organizing Feature Map for Range Image Segmentation, A
Includes: Suk, M.S.[Min Soo] Suk, M.S.[Min-Soo] Suk, M.S.
8 for Suk, M.S.
Suk, T.[Tomas]
* 1993: Character recognition by affine moment invariants
* 1993: Digital processing of skylab X-ray images of the solar corona
* 1993: Pattern Recognition by Affine Moment Invariants
* 1994: Affine Moment Invariants: A New Tool For Character-Recognition
* 1994: moment-based approach to registration of images with affine geometric distortion, A
* 1995: features for recognition of projectively deformed point sets, The
* 1995: Image Features Invariant with Respect to Blur
* 1995: projective invariants for polygons, The
* 1996: Invariants for Recognition of Degraded 1-D Digital Signals
* 1996: Recognition of Blurred Images by the Method of Moments
* 1996: Vertex-Based Features for Recognition of Projectively Deformed Polygons
* 1997: Point projective and permutation invariants
* 1998: Degraded Image-Analysis: An Invariant Approach
* 1999: Convex Layers: A New Tool for Recognition of Projectively Deformed Point Sets
* 2000: Multichannel Blind Deconvolution of the Short-exposure Astronomical Images
* 2000: Point-based projective invariants
* 2001: Features Invariant Simultaneously to Convolution and Affine Transformation
* 2002: Blur and affine moment invariants
* 2003: Combined blur and affine moment invariants and their use in pattern recognition
* 2003: Construction of Complete and Independent Systems of Rotation Moment Invariants
* 2004: Graph method for generating affine moment invariants
* 2004: Projective Moment Invariants
* 2005: Moment Invariants for Recognizing Symmetric Objects
* 2006: Rotation Moment Invariants for Recognition of Symmetric Objects
* 2008: Affine moment invariants generated by automated solution of the equations
* 2009: Affine Moment Invariants of Color Images
* 2009: Moments and Moment Invariants in Pattern Recognition
* 2010: Proof of Completeness of the Graph Method for Generation of Affine Moment Invariants, The
* 2010: Refined Morphological Methods of Moment Computation
* 2011: Affine moment invariants generated by graph method
* 2011: Colour and rotation invariant textural features based on Markov random fields
* 2011: Tensor Method for Constructing 3D Moment Invariants
* 2012: Decomposition of binary images: A survey and comparison
* 2012: Rectangular Decomposition of Binary Images
* 2013: Analysis of Dynamic Processes by Statistical Moments of High Orders
* 2013: Comparison of Leaf Recognition by Moments and Fourier Descriptors
* 2015: 3D rotation invariants by complex moments
* 2015: 3D rotation invariants of Gaussian-Hermite moments
* 2015: Projection Operators and Moment Invariants to Image Blurring
* 2015: Recognition of Images Degraded by Gaussian Blur
* 2016: Recognition of Images Degraded by Gaussian Blur
* 2016: Solar flare retrieval, detection and analysis
* 2017: Feature Selection on Affine Moment Invariants in Relation to Known Dependencies
* 2017: Recognition of patterns in vector fields by Gaussian-hermite invariants
* 2018: Affine Moment Invariants of Vector Fields
* 2018: Rotation invariants of vector fields from orthogonal moments
* 2018: Solar Atmosphere Data Analysis
* 2019: Orthogonal Affine Invariants from Gaussian-Hermite Moments
* 2021: Affine Invariants of Vector Fields
* 2022: Non-separable rotation moment invariants
* 2022: Systematic generation of moment invariant bases for 2D and 3D tensor fields
* 2023: 3d Non-separable Moment Invariants
* 2023: Filtering Green Vegetation Out from Colored Point Clouds of Rocky Terrains Based on Various Vegetation Indices: Comparison of Simple Statistical Methods, Support Vector Machine, and Neural Network
Includes: Suk, T.[Tomas] Suk, T.[Tomáš] Suk, T. Suk, T.[Tomás]
53 for Suk, T.