Index for band

Band, S.S.[Shahab. S.] * 2020: Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility
* 2020: Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
* 2020: Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment
* 2020: Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran
Includes: Band, S.S.[Shahab. S.] Band, S.S.[Shahab S.]

Banda, D.[Dalitso] * 2020: Deep video-to-video transformations for accessibility with an application to photosensitivity

Banda, E.[Elizabeth] * 2015: Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery

Banda, F. * 2016: Single and Multipolarimetric P-Band SAR Tomography of Subsurface Ice Structure
* 2020: BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation, The
* 2020: Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data
Includes: Banda, F. Banda, F.[Francesco]

Banda, J.M.[Juan M.] * 2010: Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory
* 2011: On the surprisingly accurate transfer of image parameters between medical and solar images
* 2013: large-scale solar image dataset with labeled event regions, A
* 2014: Image retrieval on compressed images: Can we tell the difference?

Banda, N. * 2009: Adaptive Edge-Oriented Shot Boundary Detection
* 2011: Real-time inference of mental states from facial expressions and upper body gestures
* 2013: Dimensional affect recognition using Continuous Conditional Random Fields
Includes: Banda, N. Banda, N.[Ntombikayise]

Banda, S.[Snikitha] * 2021: Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation
* 2024: Unsupervised image transformation for long wave infrared and visual image matching using two channel convolutional autoencoder network
Includes: Banda, S.[Snikitha] Banda, S.[Sandhya]

Bandak, S.[Soraya] * 2023: Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran

Bandapadhay, A. * 1988: Searching parameter spaces with noisy linear constraints

Bandara, K. * 2011: Automated Generation of Digital Terrain Model using Point Clouds of Digital Surface Model in Forest Area
* 2021: Improving the accuracy of global forecasting models using time series data augmentation
* 2022: Global models for time series forecasting: A Simulation study
Includes: Bandara, K. Bandara, K.[Kasun]

Bandara, U.[Upul] * 2013: Source code author identification with unsupervised feature learning
* 2015: Protecting against screenshots: An image processing approach
Includes: Bandara, U.[Upul] Bandara, U.[Udana]

Bandara, W.G.C.[Wele Gedara Chaminda] * 2022: HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
* 2023: AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
* 2023: Unite and Conquer: Plug and Play Multi-Modal Synthesis Using Diffusion Models

Bandarabadi, M. * 2015: Angle constrained path for clustering of multiple manifolds
* 2015: Nonlinear subspace clustering using curvature constrained distances
Includes: Bandarabadi, M. Bandarabadi, M.[Mojtaba]

Bandaragoda, T. * 2019: Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management

Bandari, E. * 1992: Spatial-Quefrency Approach to Optical Echo Analysis
* 1993: Visual Echo Analysis
* 1994: Cooperative analysis of multiple frames by visual echoes
* 2003: Vision-based positioning and terrain mapping by global alignment for UAVs

Bandaru, R.[Rohan] * 2023: PyPose: A Library for Robot Learning with Physics-based Optimization

Bandaru, V.[Varaprasad] * 2013: Estimating crop net primary production using national inventory data and MODIS-derived parameters
* 2014: Design of a GIS-Based Web Application for Simulating Biofuel Feedstock Yields
* 2022: Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and Soybean
* 2022: Geo-CropSim: A Geo-spatial crop simulation modeling framework for regional scale crop yield and water use assessment

Banday, S.A. * 2022: Ground glass opacity detection and segmentation using CT images: An image statistics framework

Bandecchi, M.[Michele] * 2024: Deep Learning Approach to Estimate Soil Organic Carbon from Remote Sensing, A

Bandegi, M.[Mahdi] * 2022: Predicting Risky Driving in a Connected Vehicle Environment

Bandeira Diniz, J.O. * 2019: Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions

Bandeira, A. * 2014: Phase Retrieval with Polarization

Bandeira, L.[Lourenco] * 2004: Underline Removal on Old Documents
* 2005: Combining Fuzzy Clustering and Morphological Methods for Old Documents Recovery
* 2006: Identification of Martian Polygonal Patterns Using the Dynamics of Watershed Contours
* 2006: Morphological recognition of the spatial patterns of olive trees
* 2008: New Approach to Analyse Neighbourhood Relations in 2D Polygonal Networks, A
* 2010: Automated Detection of Sand Dunes on Mars
* 2010: multi-layer approach for the analysis of neighbourhood relations of polygons in remotely acquired images, A
* 2015: Crater Detection in Multi-ring Basins of Mercury
Includes: Bandeira, L.[Lourenco] Bandeira, L.[Lourenço]
8 for Bandeira, L.

Bandeira, L.P.C.[Lourenco P. C.] * 2007: Classifiers for Vegetation and Forest Mapping with Low Resolution Multiespectral Imagery
* 2007: Development of a Methodology for Automated Crater Detection on Planetary Images
* 2007: Impact Crater Recognition on Mars Based on a Probability Volume Created by Template Matching
Includes: Bandeira, L.P.C.[Lourenco P. C.] Bandeira, L.P.C.[Lourenço P. C.]

Bandeira, S.[Salomao] * 2015: Mangroves of the Zambezi Delta: Increase in Extent Observed via Satellite from 1994 to 2013, The
* 2021: Impacts of the Tropical Cyclone Idai in Mozambique: A Multi-Temporal Landsat Satellite Imagery Analysis
Includes: Bandeira, S.[Salomao] Bandeira, S.[Salomão]

Bandekar, A.N.[Alok N.] * 2005: Automatic Segmentation of Abdominal Fat from CT Data

Bandelli, S. * 2001: Quantitative assessment of qualitative color perception in image database retrieval

Bandelow, N.C. * 2020: Towards Innovative Participation-oriented Planning of Infrastructure Measures

Bandemer, H. * 1996: Specifying Fuzzy Data from Grey-Tone Pictures for Pattern-Recognition
* 1996: Specifying Fuzzy Data from Grey-Tone Pictures for Pattern-Recognition

Bandera Rubio, A.[Antonio] * 1999: 2D object recognition based on curvature functions obtained from local histograms of the contour chain code
* 2001: Scale-dependent hierarchical unsupervised segmentation of textured images
* 2002: hierarchical context-based textured image segmentation algorithm for aerial images, A
* 2002: multiresolution spatiotemporal motion segmentation technique for video sequences based on pyramidal structures, A
* 2002: Non-parametric planar shape representation based on adaptive curvature functions
* 2002: Nonuniform video coding by means of multifoveal geometries
* 2002: Planar shape indexing and retrieval based on Hidden Markov Models
* 2003: 3D object recognition based on curvature information of planar views
* 2003: curvature-based multiresolution automatic karyotyping system, A
* 2003: Hidden Markov Model object recognition technique for incomplete and distorted corner sequences, A
* 2003: Spatiotemporal video segmentation and motion estimation through irregular pyramids
* 2004: Bounded irregular pyramid: a new structure for color image segmentation
* 2006: Pyramid segmentation algorithms revisited
* 2007: Perception-Based Image Segmentation Using the Bounded Irregular Pyramid
* 2009: 3D Image Segmentation Using the Bounded Irregular Pyramid
* 2009: Affine-invariant contours recognition using an incremental hybrid learning approach
* 2009: Comparison of Perceptual Grouping Criteria within an Integrated Hierarchical Framework
* 2011: New Perception-Based Segmentation Approach Using Combinatorial Pyramids, A
18 for Bandera Rubio, A.

Bandera Rubio, A.J.[Antonio J.] * 2013: Scene understanding and behaviour analysis

Bandera, A. * 2006: Mean shift based clustering of Hough domain for fast line segment detection
* 2007: Construction of Bounded Irregular Pyramids with a Union-Find Decimation Process, The
* 2008: Algorithm for Fitting 2-D Data on the Circle: Applications to Mobile Robotics, An
* 2009: Adaptive Approach for Affine-Invariant 2D Shape Description, An
* 2009: Fast gesture recognition based on a two-level representation
* 2009: novel approach for salient image regions detection and description, A
* 2010: Incremental Hybrid Approach for Unsupervised Classification: Applications to Visual Landmarks Recognition
* 2010: Incremental Learning of Visual Landmarks for Mobile Robotics
* 2012: Combining boundary and region features inside the combinatorial pyramid for topology-preserving perceptual image segmentation
* 2013: Part-based object detection into a hierarchy of image segmentations combining color and topology
* 2013: Spatio-temporal feature-based keyframe detection from video shots using spectral clustering
* 2016: Segmentation and Classification of Geoenvironmental Zones of Interest in Aerial Images Using the Bounded Irregular Pyramid
* 2019: Cooperative and Social Robots: Understanding Human Activities and Intentions
* 2019: Perceiving the person and their interactions with the others for social robotics: A review
* 2021: Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework
Includes: Bandera, A. Bandera, A.[Antonio]
15 for Bandera, A.

Bandera, C. * 1996: Foveal Automatic Target Recognition Using a Neural Network
* 1996: MIMD Computing Platform for a Hierarchical Foveal Machine Vision System, An
* 1998: Foveal Automatic Target Recognition Using a Multiresolution Neural-Network
* 2018: Making Bertha Cooperate: Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge
Includes: Bandera, C. Bandera, C.[Cesar] Bandera, C.[Claudio]

Bandera, J.P. * 2006: Mean shift based clustering of Hough domain for fast line segment detection
* 2009: Fast gesture recognition based on a two-level representation
* 2013: Part-based object detection into a hierarchy of image segmentations combining color and topology
* 2019: new paradigm for autonomous human motion description and evaluation: Application to the Get Up & Go test use case, A
Includes: Bandera, J.P. Bandera, J.P.[Juan P.] Bandera, J.P.[Juan Pedro]

Bandettini, P.A.[Peter A.] * 2008: Artifactual time-course correlations in echo-planar fMRI with implications for studies of brain function
* 2008: Differential transient MEG and fMRI responses to visual stimulation onset rate

Bandhakavi, A.[Anil] * 2017: Lexicon based feature extraction for emotion text classification
* 2017: Lexicon Generation for Emotion Detection from Text

Bandhari, A.[Ayush] * 2013: Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point

Bandi, C.[Chaitanya] * 2021: Skeleton-based Action Recognition for Human-Robot Interaction using Self-Attention Mechanism

Bandi, K. * 2005: statistical model for writer verification, A

Bandi, P. * 2019: From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Includes: Bandi, P. Bándi, P.

Bandiatmakuri, S.G.[Sai Ganesh] * 2012: Action Recognition Using Canonical Correlation Kernels

Bandiera, A. * 2015: Active and Passive 3D Imaging Technologies Applied to Waterlogged Wooden Artifacts from Shipwrecks

Bandiera, F. * 2006: CFAR Detection of Extended and Multiple Point-Like Targets Without Assignment of Secondary Data
* 2014: Bayesian Approach to Oil Slicks Edge Detection Based on SAR Data, A
* 2016: CRLB for I/Q Imbalance Estimation in FMCW Radar Receivers

Bandillo, N.[Nonoy] * 2023: Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground Biomass, An
* 2023: Predicting Dry Pea Maturity Using Machine Learning and Advanced Sensor Fusion with Unmanned Aerial Systems (UASs)

Bandini, A. * 2018: Automatic Detection of Amyotrophic Lateral Sclerosis (ALS) from Video-Based Analysis of Facial Movements: Speech and Non-Speech Tasks
* 2020: Estimation of Orofacial Kinematics in Parkinson's Disease: Comparison of 2D and 3D Markerless Systems for Motion Tracking
* 2023: Analysis of the Hands in Egocentric Vision: A Survey
Includes: Bandini, A. Bandini, A.[Andrea]

Bandini, F.[Filippo] * 2019: Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition
* 2020: Value of Distributed High-Resolution UAV-Borne Observations of Water Surface Elevation for River Management and Hydrodynamic Modeling, The
* 2022: Challenges with Regard to Unmanned Aerial Systems (UASs) Measurement of River Surface Velocity Using Doppler Radar

Bandini, S. * 2013: Studying Pedestrian and Crowd Dynamics through Integrated Analysis and Synthesis
* 2014: Mobility analysis of the aged pedestrians by experiment and simulation
* 2014: Pattern recognition and crowd analysis
* 2014: Towards an integrated approach to crowd analysis and crowd synthesis: A case study and first results
Includes: Bandini, S. Bandini, S.[Stefania]

Bandla, S.I.[Sun Il] * 2013: Active Learning of an Action Detector from Untrimmed Videos
Includes: Bandla, S.I.[Sun Il] Bandla, S.I.[Sun-Il]

Bandmann, O.[Oliver] * 2014: Three-Dimensional Deconvolution of Wide Field Microscopy with Sparse Priors: Application to Zebrafish Imagery

Bando, T. * 2004: Switching particle filters for efficient real-time visual tracking
* 2015: Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points
* 2016: Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer
* 2016: Sequence Prediction of Driving Behavior Using Double Articulation Analyzer
* 2017: Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning

Bando, Y.[Yosuke] * 2013: Analysis of Focus Sweep for Improved 2D Motion Invariance, An
* 2020: Flow-Based Independent Vector Analysis for Blind Source Separation
* 2021: Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation
* 2023: Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis
Includes: Bando, Y.[Yosuke] Bando, Y. Bando, Y.[Yoshiaki]

Bandoh, Y. * 1997: Address Generator of a Pseudo-Hilbert Scan in a Rectangle Region, An
* 1998: Color Image Compression Using a Hilbert Scan
* 1999: address generator for a 3-dimensional pseudo-Hilbert scan in a cuboid region, An
* 2000: Address Generator for an N-dimensional Pseudo-Hilbert Scan in a Hyper-rectangular Parallelepiped Region, An
* 2005: Theoretical Model of Relationship Between Frame-Rate and Bit-Rate for Encoding High Frame-Rate Video Signal
* 2006: Theoretical Model of Relationship Between Frame-Rate and Bit-Rate Considering the Effect of the Integral Phenomenon
* 2007: Generalized Theoretical Model of Relationship Between Frame-Rate and Bit-Rate Considering Low Pass Filtering Induced by Shutter Opening
* 2008: Encoder design for H.264/AVC based on contrast sensitivity considering spatio-temporal direction dependency
* 2009: Mathematical analysis of the energy compaction affected by the dimensionality of Karhunen-Lòeve transform
* 2009: Temporal down-sampling algorithm of high frame-rate video for reducing inter-frame prediction error
* 2010: coding method for high bit-depth images based on optimized bit-depth transform, A
* 2010: Recent advances in high dynamic range imaging technology
* 2016: Video generation algorithm based on high temporal-resolution imaging
* 2017: Study on Video Generation Based on High-Density Temporal Sampling, A
* 2018: Temporal Filter Design for Encoder-Oriented Video Generation Based on Bayesian Optimization
* 2019: Complexity Reduction of Multi-Level DP Quantization Through Inter-Level Redundancy Elimination
* 2022: Active Learning for Hyperspectral Image Classification via Hypergraph Neural Network
* 2022: Aerial Image Segmentation via Noise Dispelling and Content Distilling
* 2023: Complexity Reduction of Graph Signal Denoising Based on Fast Graph Fourier Transform
* 2023: Multimodadl Graph Signal Denoising With Simultaneous Graph Learning using Deep Algorithm Unrolling
* 2024: Deep Counterfactual Representation Learning for Visual Recognition Against Weather Corruptions
Includes: Bandoh, Y. Bandoh, Y.[Yukihiro]
21 for Bandoh, Y.

Bandopadhay, A. * 1993: Shape From Line Drawings: Beyond Huffman-Clowes Labeling

Bandopadhy, A. * 1984: Interest Points, Disparities and Correspondence
* 1986: Active Navigation: Tracking an Environmental Point Considered Beneficial
* 1986: Egomotion Using Active Vision
Includes: Bandopadhy, A. Bandopadhy, A.[Amit]

Bandopadhyay, S.[Subhajit] * 2019: Hyplant-Derived Sun-Induced Fluorescence: A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types
* 2021: Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data

Bandos, T.V. * 2009: Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

Bandou, Y. * 1999: New Algorithm for N-Dimensional Hilbert Scanning, A

Bandouch, J.[Jan] * 2008: Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
* 2008: Evaluation of Hierarchical Sampling Strategies in 3D Human Pose Estimation
* 2009: Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models
* 2009: TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition, The
* 2012: Self-Training Approach for Visual Tracking and Recognition of Complex Human Activity Patterns, A
Includes: Bandouch, J.[Jan] Bandouch, J.

Bandrabur, A.[Alessandra] * 2016: Pain intensity estimation by a self-taught selection of histograms of topographical features

Bandrova, T. * 2012: Three-dimensional Maps For Disaster Management
* 2015: Conceptual Framework for Educational Disaster Centre Save the Children Life

Bandukwala, F.[Farhana] * 2011: Extracting spatially and spectrally coherent regions from multispectral images

Bandula, S. * 2018: Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

Bandy, D. * 1998: Generalized Linear Least Squares Method for Fast Generation of Myocardial Blood Flow Parametric Images with N-13 Ammonia PET

Bandyapadhyay, S.[Sayan] * 2023: How to find a good explanation for clustering?

Bandyopadhyay, A. * 1984: Connectionist Model of Extrapersonal Space, A
* 1984: Multiple Channel Model for Perception of Optical Flow, A
* 1987: Active Vision
* 1987: Active Vision
* 1988: Active Vision

Bandyopadhyay, B. * 1986: Nonlinear Extension to a Moment Method Iterative Reconstruction Algorithm for Microwave Tomography
* 2012: Discrete-time integral sliding-mode flow control for connection-oriented communication networks
* 2020: Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing

Bandyopadhyay, H.[Hmrishav] * 2021: Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping, A
* 2022: Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples
* 2022: RectiNet-v2: A stacked network architecture for document image dewarping

Bandyopadhyay, M.K.[Malay Kumar] * 2021: Understanding crowd flow patterns using active-Langevin model
* 2023: Crowd Characterization in Surveillance Videos Using Deep-Graph Convolutional Neural Network

Bandyopadhyay, O.[Oishila] * 2014: Long-Bone Fracture Detection in Digital X-ray Images Based on Concavity Index
* 2015: Retinal Blood Vessel Segmentation and Bifurcation Point Detection
* 2016: Automated Analysis of Orthopaedic X-ray Images based on Digital-Geometric Techniques
* 2016: Automated Brain Tumor Diagnosis and Severity Analysis from Brain MRI
* 2016: Automatic Segmentation of Bones in X-ray Images Based on Entropy Measure
* 2017: Does Rotation Influence the Estimated Contour Length of a Digital Object?

Bandyopadhyay, S. * 1996: GA Based Pattern Classification: Theoretical and Experimental Studies
* 1996: Novel Neural Heteroassociative Memory Model for Pattern-Recognition, A
* 1997: Pattern-Classification with Genetic Algorithms: Incorporation of Chromosome Differentiation
* 1998: Holographic Implementation of a Binary Associative Memory for Improved Recognition
* 1998: Pattern classification using genetic algorithms: Determination of H
* 2000: Genetic algorithm-based clustering technique
* 2001: Nonparametric genetic clustering: comparison of validity indices
* 2001: Pixel classification using variable string genetic algorithms with chromosome differentiation
* 2002: Efficient prototype reordering in nearest neighbor classification
* 2002: Genetic clustering for automatic evolution of clusters and application to image classification
* 2002: Performance Evaluation of Some Clustering Algorithms and Validity Indices
* 2003: Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification
* 2004: automatic shape independent clustering technique, An
* 2004: New operators of genetic algorithms for traveling salesman problem
* 2004: Validity index for crisp and fuzzy clusters
* 2007: Dynamic Range-Based Distance Measure for Microarray Expressions and a Fast Gene-Ordering Algorithm
* 2007: GAPS: A clustering method using a new point symmetry-based distance measure
* 2007: Hidden Markov Model Based Named Entity Recognition System: Bengali and Hindi as Case Studies, A
* 2007: Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery
* 2008: Gene Identification: Classical and Computational Intelligence Approaches
* 2008: genetic approach for efficient outlier detection in projected space, A
* 2008: Improving the Performance of a NER System by Post-processing and Voting
* 2008: multiobjective simulated annealing based fuzzy-clustering technique with symmetry for pixel classification in remote sensing imagery, A
* 2008: new multiobjective simulated annealing based clustering technique using stability and symmetry, A
* 2009: Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation, An
* 2009: new multiobjective simulated annealing based clustering technique using symmetry, A
* 2010: symmetry based multiobjective clustering technique for automatic evolution of clusters, A
* 2014: Integration of dense subgraph finding with feature clustering for unsupervised feature selection
* 2015: Event extraction from cancer genetics literature
* 2015: Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region
* 2016: Axioms to characterize efficient incremental clustering
* 2016: MAPSM: A Spatio-Temporal Algorithm for Merging Soil Moisture from Active and Passive Microwave Remote Sensing
* 2017: Spatial Disaggregation of Latent Heat Flux Using Contextual Models over India
* 2018: DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups
* 2018: Generic Axiomatic Characterization for Measuring Influence in Social Networks, A
* 2018: Irrigation History Estimation Using Multitemporal Landsat Satellite Images: Application to an Intensive Groundwater Irrigated Agricultural Watershed in India
* 2019: Analysis of L-Band SAR Data for Soil Moisture Estimations over Agricultural Areas in the Tropics
* 2020: Utility Driven Post Disaster Emergency Resource Allocation System Using DTN, A
* 2021: Identifying Seasonal Groundwater-Irrigated Cropland Using Multi-Source NDVI Time-Series Images
* 2021: Stable feature selection using copula based mutual information
* 2022: CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor segmentation
* 2022: Geospatial Modelling for Delineation of Crop Management Zones Using Local Terrain Attributes and Soil Properties
* 2023: Mixed attention and regularized COVID-19 network: An approach to detection of COVID-19 with chest x-ray images
Includes: Bandyopadhyay, S. Bandyopadhyay, S.[Somnath] Bandyopadhyay, S.[Sanghamitra] Bandyopadhyay, S.[Sivaji] Bandyopadhyay, S.[Soumya] Bandyopadhyay, S.[Sambaran] Bandyopadhyay, S.[Siladitya]
43 for Bandyopadhyay, S.

Bandyopadhyay, S.K. * 2005: Optimal Bit Allocation for Joint Contour-Based Shape Coding and Shape Adaptive Texture Coding
* 2006: Optimal Power Allocation for Scalable Video Transmission over Multirate GMC-CDMA Wireless Links
* 2008: Cross-Layer Optimization for Video Transmission Over Multirate GMC-CDMA Wireless Links
* 2008: Optimal Bit Allocation for Joint Texture-Aware Contour-Based Shape Coding and Shape-Adaptive Texture Coding
* 2013: Mammographic Density Estimation and Classification Using Segmentation and Progressive Elimination Method
Includes: Bandyopadhyay, S.K. Bandyopadhyay, S.K.[Samir K.]

Bandyopadhyay, T.[Tirthankar] * 2022: How Rough Is the Path? Terrain Traversability Estimation for Local and Global Path Planning

Index for "b"