Index for kand

Kanda, N.[Naoyuki] * 2021: Streaming End-to-End Multi-Talker Speech Recognition

Kanda, S. * 1989: Development of hand-eye system with 3-D vision and microgripper and its application to assembling flexible wires
* 1989: Method for measuring a three-dimensional position of an object
* 1990: Hand-Eye System with Three-Dimensional Vision and Microgripper for Handling Flexible Wire
Includes: Kanda, S. Kanda, S.[Shinji]

Kanda, T. * 2000: Active Vision System for Real-Time Traffic Sign Recogntition, An
* 2002: Active Vision System for On-line Traffic Sign Recognition, An
* 2010: Progressive MAP-based Deconvolution with Pixel-Dependent Gaussian Prior
* 2012: Temporal Awareness in Teleoperation of Conversational Robots
* 2013: Designing and Implementing a Human-Robot Team for Social Interactions
* 2013: Person Tracking in Large Public Spaces Using 3-D Range Sensors
* 2013: Teleoperation Approach for Mobile Social Robots Incorporating Automatic Gaze Control and Three-Dimensional Spatial Visualization, A
* 2015: Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking
Includes: Kanda, T. Kanda, T.[Takafumi]
8 for Kanda, T.

Kandalan, R.N. * 2020: Techniques for Constructing Indoor Navigation Systems for the Visually Impaired: A Review

Kandali, A.B.[Aditya Bihar] * 2009: Cross-Lingual Vocal Emotion Recognition in Five Native Languages of Assam Using Eigenvalue Decomposition

Kandali, K. * 2020: Routing Scheme Using an Adaptive K-Harmonic Means Clustering for VANETs, A

Kandan, R. * 2007: Robust Two Level Classification Algorithm for Text Localization in Documents, A
* 2008: Online Character Recognition using Regression Techniques

Kandan, R.S.[Rathinam Somas] * 2020: Performance enhancement of image segmentation analysis for multi-grade tumour classification in MRI image

Kandappu, T.[Thivya] * 2021: PrivAttNet: Predicting Privacy Risks in Images Using Visual Attention
* 2024: PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection

Kandar, D.[Debdatta] * 2021: SAR image despeckling using deep CNN

Kandar, S.[Shyamalendu] * 2022: Verifiable varying sized (m,n,n) multi-image secret sharing with combiner verification and cheater identification

Kandare, K.[Kaja] * 2017: Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data

Kandasamy, D.[Devasenathipathy] * 2020: Segmentation of osteosarcoma tumor using diffusion weighted MRI: A comparative study using nine segmentation algorithms

Kandasamy, M. * 2013: Indian Movie Face Database: A benchmark for face recognition under wide variations

Kandasamy, S.[Sivasathivel] * 2011: Quantification of LAI interannual anomalies by adjusting climatological patterns
* 2013: CACAO Method for Smoothing, Gap Filling, and Characterizing Seasonal Anomalies in Satellite Time Series, The
* 2017: Assessment of Three Methods for Near Real-Time Estimation of Leaf Area Index From AVHRR Data
Includes: Kandasamy, S.[Sivasathivel] Kandasamy, S.

Kandaswamy, A. * 2005: Detection of Breast Cancer Tumor Based on Morphological Watershed Algorithm
* 2012: comparative study on mammographic image denoising technique using wavelet, curvelet and contourlet transforms, A
* 2012: Development of navigation system for autonomous vehicle

Kandaswamy, C.[Chetak] * 2014: Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance
* 2015: Source-Target-Source Classification Using Stacked Denoising Autoencoders
* 2017: Speedup of deep learning ensembles for semantic segmentation using a model compression technique

Kandaswamy, I.[Indu] * 2015: FPGA acceleration for feature based processing applications
* 2022: Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators
Includes: Kandaswamy, I.[Indu] Kandaswamy, I.[Indhumathi]

Kandaswamy, U. * 2005: Efficient Texture Analysis of SAR Imagery
* 2007: Texton-based segmentation of retinal vessels
* 2009: Adaptive Edge-Oriented Shot Boundary Detection
* 2011: Comparison of Texture Analysis Schemes Under Nonideal Conditions
* 2012: Robust Color Texture Features Under Varying Illumination Conditions
* 2015: Texture Content Based Successive Approximations for Image Compression and Recognition
Includes: Kandaswamy, U. Kandaswamy, U.[Umasankar] Kandaswamy, U.[Uma]

Kandaswamy, V. * 2020: Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images

Kandath, H.[Harikumar] * 2022: UAV-based Visual Remote Sensing for Automated Building Inspection

Kande, G.B.[Giri Babu] * 2008: Segmentation of Exudates and Optic Disk in Retinal Images
* 2021: MR Brain Image Segmentation to Detect White Matter, Gray Matter, and Cerebro Spinal Fluid Using TLBO Algorithm
* 2021: Rotational invariant fractional derivative filters for lung tissue classification

Kande, N.A. * 2021: SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images

Kandeel, A.A.[Amany A.] * 2020: Explainable Model Selection of a Convolutional Neural Network for Driver's Facial Emotion Identification

Kandeepan, S. * 2018: Stochastic Geometry Methods for Modeling Automotive Radar Interference
* 2020: Performance Modeling Framework for IoT-over-Satellite Using Shared Radio Spectrum
Includes: Kandeepan, S. Kandeepan, S.[Sithamparanathan]

Kandeh, J.[Joseph] * 2015: Developing a Relative Ranking of Social Vulnerability of Governorates of Yemen to Humanitarian Crisis

Kandel, A. * 1992: Hierarchical Analysis of Visual Motion
* 1999: Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches
* 2000: Mean and maximum common subgraph of two graphs
* 2000: On the Minimum Common Supergraph of Two Graphs
* 2001: Geometric Approach To Data Mining
* 2001: Information-theoretic algorithm for feature selection
* 2001: On fuzzy correlations
* 2002: Curve morphing by weighted mean of strings
* 2002: Fuzzy Clustering With Genetically Adaptive Scaling
* 2002: Perception-based Analysis Of Engineering Experiments In The Semiconductor Industry
* 2003: Classification of web documents using a graph model
* 2004: Graph-Based Framework for Web Document Mining, A
* 2008: Applied Pattern Recognition
* 2011: Robust Small Robot Localization From Highly Uncertain Sensors
Includes: Kandel, A. Kandel, A.[Abraham]
14 for Kandel, A.

Kandel, H.J.[Hans J.] * 2021: Using Canopy Measurements to Predict Soybean Seed Yield

Kandel, H.P.[Hari P.] * 2015: Operational Actual Wetland Evapotranspiration Estimation for South Florida Using MODIS Imagery

Kandel, P. * 2019: Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Kandel, Y.[Yudhishthir] * 2016: SEM resolution improvement using semi-blind restoration with hybrid L1-L2 regularization
* 2020: Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery, A
Includes: Kandel, Y.[Yudhishthir] Kandel, Y.[Yuba]

Kandelous, M.M.[Maziar M.] * 2017: Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations

Kandemir, M.[Melih] * 2009: Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection
* 2014: Multiple Instance Learning with Response-Optimized Random Forests
* 2016: Gaussian Process Density Counting from Weak Supervision
* 2016: Variational Weakly Supervised Gaussian Processes
* 2017: Variational Bayesian Multiple Instance Learning with Gaussian Processes
* 2018: Supervising topic models with Gaussian processes
* 2018: Variational closed-Form deep neural net inference
* 2023: Deterministic Approximation to Neural SDEs, A
* 2023: PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison
Includes: Kandemir, M.[Melih] Kandemir, M.
9 for Kandemir, M.

Kandhway, P.[Pankaj] * 2019: Modified clipping based image enhancement scheme using difference of histogram bins

Kandi, L.P. * 2018: Weak Signal Watermark Detection Through Rao-T Hypothesis and Lightweight Detection

Kandi, M.M.[Mohamed Mehdi] * 2022: Intelligent Document Processing with Small and Relevant Training Dataset

Kandi, S.G.[Saeideh Gorji] * 2018: How accurately do different computer-based texture characterization methods predict material surface coarseness? A guideline for effective online inspection
* 2019: How anisotropy of CIELAB color space affects the separation effect: an experimental study

Kandiah, R.[Ramanitharan] * 2023: Estimating Completely Remote Sensing-Based Evapotranspiration for Salt Cedar (Tamarix ramosissima), in the Southwestern United States, Using Machine Learning Algorithms

Kandidayeni, M.[Mohsen] * 2022: Adaptive Parameter Identification of a Fuel Cell System for Health-Conscious Energy Management Applications
* 2024: Energy Management Strategies for Fuel Cell Vehicles: A Comprehensive Review of the Latest Progress in Modeling, Strategies, and Future Prospects

Kandil, A.H.[Ahmed Hisham] * 2023: Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches

Kandil, H. * 2020: Analysis Of The Importance Of Systolic Blood Pressure Versus Diastolic Blood Pressure In Diagnosing Hypertension: MRA Study.
* 2020: Precise Cerebrovascular Segmentation

Kandimalla, R.M. * 2004: Snake-based technique for plasmapause tracking

Kandler, G. * 2007: Mixed Effects Model to Estimate Stand Volume by Means of Small Footprint Airborne Lidar Data for an American and German Study Site, A
* 2012: Influence of DEM Quality on Mapping Accuracy of Coniferous- and Deciduous-Dominated Forest Using TerraSAR-X Images, The
* 2013: Early Detection of Bark Beetle Green Attack Using TerraSAR-X and RapidEye Data
Includes: Kandler, G. Kändler, G. (Maybe also Kaendler, G.)

Kandpal, M.[Meenakshi] * 2020: Geospatial Serverless Computing: Architectures, Tools and Future Directions

Kandukuri, R.K.[Rama Krishna] * 2020: Learning to Identify Physical Parameters from Video Using Differentiable Physics
* 2022: Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics

Kandula, P.[Praveen] * 2018: PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
* 2019: AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results
* 2019: AIM 2019 Challenge on Image Demoireing: Methods and Results
* 2019: AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results
* 2019: AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
* 2019: Depth-Guided Dense Dynamic Filtering Network for Bokeh Effect Rendering
* 2023: Illumination-Adaptive Unpaired Low-Light Enhancement
Includes: Kandula, P.[Praveen] Kandula, P.
7 for Kandula, P.

Kandula, S.R.[Srinivasa Rao] * 2024: Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments

Kandur, B.R.[Barath Raj] * 2024: What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection

Kandus, P.[Patricia] * 2016: Mapping Plant Functional Types in Floodplain Wetlands: An Analysis of C-Band Polarimetric SAR Data from RADARSAT-2
* 2021: Response of Multi-Incidence Angle Polarimetric RADARSAT-2 Data to Herbaceous Vegetation Features in the Lower Paraná River Floodplain, Argentina

Kandylakis, Z. * 2016: Precision Viticulture From Multitemporal, Multispectral Very High Resolution Satellite Data
* 2019: Fusing Multimodal Video Data for Detecting Moving Objects/Targets in Challenging Indoor and Outdoor Scenes
* 2020: Assessing the Contribution of Spectral and Temporal Features for Annual Land Cover and Crop Type Mapping
* 2021: Joint Land Cover and Crop Type Mapping Using Multi-temporal Sentinel-2 Data From Various Environmental Zones in Greece
Includes: Kandylakis, Z. Kandylakis, Z.[Zacharias]

Kandzia, F.[Felix] * 2022: Development of a UAV-Based Gamma Spectrometry System for Natural Radionuclides and Field Tests at Central Asian Uranium Legacy Sites

Index for "k"


Last update: 2-May-24 21:08:06
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