Kudo, A.
* 2019: Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection
Kudo, H.
* 1998: 3-Dimensional Monochromatic X-Ray Computed-Tomography Using Synchrotron-Radiation
* 2000: Quasi-exact filtered backprojection algorithm for long-object problem in helical cone-beam tomography
* 2004: General Reconstruction Theory for Multislice X-ray Computed Tomography With a Gantry Tilt
* 2005: Image retrieval by pattern categorization using wavelet domain perceptual features with LVQ neural network
* 2006: Computer vision based methods for detecting weeds in lawns
* 2008: Motion Compensated Fan-Beam Reconstruction for Nonrigid Transformation
* 2012: Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization
* 2012: Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification
* 2013: Informative patches sampling for image classification by utilizing bottom-up and top-down information
* 2013: Integer fast lapped biorthogonal transform via applications of DCT matrices and dyadic-valued factors for lifting coefficient blocks
* 2015: 2D Non-Separable Block-Lifting Structure and Its Application to M -Channel Perfect Reconstruction Filter Banks for Lossy-to-Lossless Image Coding
* 2015: Extended Block-Lifting-Based Lapped Transforms
* 2017: MRF-based image segmentation with unsupervised model parameter estimation, An
* 2017: Pseudo reversible symmetric extension for lifting-based nonlinear-phase paraunitary filter banks
* 2019: Image Boundary Extension With Mean Value for Cosine-Sine Modulated Lapped/Block Transforms
* 2019: Redefined Block-Lifting-Based Filter Banks With Efficient Reversible Nonexpansive Convolution
* 2022: Preprocessing Optimization and Semantic Segmentation for Extraction of Cervical Intervertebral Disks from Videofluorography
Includes: Kudo, H. Kudo, H.[Hiroaki] Kudo, H.[Hiroyuki]
17 for Kudo, H.
Kudo, K.
* 2012: Bayesian Hemodynamic Parameter Estimation by Bolus Tracking Perfusion Weighted Imaging
Kudo, M.[Mineichi]
* 1988: Efficient regular grammatical inference techniques by the use of partial similarities and their logical relationships
* 1993: Feature selection based on the structural indices of categories
* 1996: Construction of Class Regions by a Randomized Algorithm: A Randomized Subclass Method
* 1996: Realization of Membership Queries in Character-Recognition
* 1996: Selection of Classifiers Based on the MDL Principle Using the VC Dimension
* 1998: Approximation of Class Regions by Quasi Convex Hulls
* 1998: Piecewise linear classifiers with an appropriate number of hyperplanes
* 1998: Subclass-Based Mixture Model for Pattern Recognition, A
* 1998: Visualization of the Structure of Classes Using a Graph
* 1999: Multidimensional curve classification using passing-through regions
* 2000: Comparison of algorithms that select features for pattern classifiers
* 2000: Histogram-based Classifier on Overlapped Bins, A
* 2003: Simple termination conditions for k-nearest neighbor method
* 2004: gaussian mixture-based colour texture model, A
* 2006: Hipprint Person Identification and Behavior Analysis
* 2006: Model Selection Using a Class of Kernels with an Invariant Metric
* 2006: Non-parametric classifier-independent feature selection
* 2007: Integrated kernels and their properties
* 2008: Bagging, Random Subspace Method and Biding
* 2008: Behavior Analysis of Volume Prototypes in High Dimensionality
* 2008: Classification by bagged consistent itemset rules
* 2008: Classification by reflective convex hulls
* 2008: Feature and Classifier Selection in Class Decision Trees
* 2008: Optimal Kernel in a Class of Kernels with an Invariant Metric
* 2008: Sitting posture analysis by pressure sensors
* 2008: Soft Feature Selection by Using a Histogram-Based Classifier
* 2009: Classifier Selection in a Family of Polyhedron Classifiers
* 2010: Data compression by volume prototypes for streaming data
* 2010: Margin Preserved Approximate Convex Hulls for Classification
* 2010: Probably correct k-nearest neighbor search in high dimensions
* 2010: Relationship Between Generalization Error and Training Samples in Kernel Regressors, A
* 2011: Construction of convex hull classifiers in high dimensions
* 2011: Hierarchical Foreground Detection in Dynamic Background
* 2011: Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network
* 2012: Action recognition via sparse representation of characteristic frames
* 2012: Camera view usage of binary infrared sensors for activity recognition
* 2012: Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric
* 2012: High Range Resolution Ultrasonographic Vascular Imaging Using Frequency Domain Interferometry With the Capon Method
* 2012: Selection of Characteristic Frames in Video for Efficient Action Recognition
* 2013: How Do Facial Expressions Contribute to Age Prediction?
* 2013: Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition
* 2013: Temporal segmentation and assignment of successive actions in a long-term video
* 2013: Weighted Naďve Bayes Classifiers by Renyi Entropy
* 2014: Analyses on Generalization Error of Ensemble Kernel Regressors
* 2014: efficient construction and application usefulness of rectangle greedy covers, An
* 2014: Homage to Professor Maria Petrou
* 2014: Privacy Preserving Multi-target Tracking
* 2014: Selection of Features in Accord with Population Drift
* 2015: Homage to Professor Maria Petrou
* 2015: Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network
* 2015: Unsupervised Surface Reflectance Field Multi-Segmenter
* 2016: Fast random k-labELsets for large-scale multi-label classification
* 2016: Locality in multi-label classification problems
* 2016: Location-associated indoor behavior analysis of multiple persons
* 2016: Multi-label classification with meta-label-specific features
* 2016: Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification
* 2016: Simultaneous visualization of samples, features and multi-labels
* 2017: READER: Robust Semi-Supervised Multi-Label Dimension Reduction
* 2018: Optimization of classifier chains via conditional likelihood maximization
* 2022: Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings
* 2022: Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-Label Data
* 2022: Realization of Autoencoders by Kernel Methods
* 2022: Retargeted Regression Methods for Multi-label Learning
* 2022: Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone
* 2024: Robust embedding regression for semi-supervised learning
Includes: Kudo, M.[Mineichi] Kudo, M.
65 for Kudo, M.
Kudo, R.[Rei]
* 2015: Continuous observations of atmospheric aerosols across East Asia
* 2018: Retrieval of Aerosol Components Using Multi-Wavelength Mie-Raman Lidar and Comparison with Ground Aerosol Sampling
* 2019: Retrieval of Cloud Optical Thickness from Sky-View Camera Images using a Deep Convolutional Neural Network based on Three-Dimensional Radiative Transfer
* 2023: Stratospheric Aerosol Characteristics from the 2017-2019 Volcanic Eruptions Using the SAGE III/ISS Observations
Kudo, S.
* 2003: Docking of Polygons Using Boundary Descriptor
* 2012: Robust automatic video object segmentation with graphcut assisted by SURF features
* 2021: GAN-Based Image Compression Using Mutual Information for Optimizing Subjective Image Similarity
Includes: Kudo, S. Kudo, S.[Satomi] Kudo, S.[Shinobu]
Kudo, S.E.[Shin Ei]
* 2018: Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition
Includes: Kudo, S.E.[Shin Ei] Kudo, S.E.[Shin-Ei]
Kudo, T.[Tomoyuki]
* 1996: Recovering 3D Shape and Texture from Continuous Focus Series: Using a Polarized Filter
* 2004: Vibration correction apparatus
* 2007: Weighted Substructure Mining for Image Analysis
* 2017: Initial response time measurement in eye movement for dementia screening test
* 2021: GAN-Based Image Deblurring Using DCT Discriminator
Includes: Kudo, T.[Tomoyuki] Kudo, T.[Toshimichi] Kudo, T.[Taku] Kudo, T. Kudo, T.[Takahiro]
Kudo, Y.
* 2017: Computer-Aided Diagnosis of Focal Liver Lesions Using Contrast-Enhanced Ultrasonography With Perflubutane Microbubbles
* 2017: Dilated convolutions for image classification and object localization
* 2017: Mass-produced parts traceability system based on automated scanning of Fingerprint of Things
* 2021: Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
* 2021: Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency
Includes: Kudo, Y. Kudo, Y.[Yasunori] Kudo, Y.[Yuta]
Kudoh, J.I.
* 2007: Image Fusion Processing for IKONOS 1-m Color Imagery
Kudoh, S.[Shunsuke]
* 2005: Balance Maintenance Model for Human-like Characters with Whole Body Motion
* 2008: Task Recognition and Person Identification in Cyclic Dance Sequences with Multi Factor Tensor Analysis
* 2018: Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots
Kudose, S.
* 2018: Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections