Index for barl

Barla, A. * 2002: Hausdorff Kernel for 3D Object Acquisition and Detection
* 2003: Histogram intersection kernel for image classification
* 2003: Old fashioned state-of-the-art image classification
* 2005: Building Kernels from Binary Strings for Image Matching
* 2008: Vector valued regression for iron overload estimation
* 2009: Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
* 2021: Temporal Pattern Detection in Time-Varying Graphical Models
Includes: Barla, A. Barla, A.[Annalisa]
7 for Barla, A.

Barla, P.[Pascal] * 2013: Diffusion Curves: A Vector Representation for Smooth-Shaded Images

Barlacchi, G. * 2020: Modelling Taxi Drivers' Behaviour for the Next Destination Prediction

Barlach, F.[Flemming] * 1990: Payphone coin validation using pattern recognition
* 1991: linear classifier design approach, A

Barlak, J.[Jan] * 2020: remotIO: A Sentinel-1 Multi-Temporal InSAR Infrastructure Monitoring Service with Automatic Updates and Data Mining Capabilities

Barlakas, V.[Vasileios] * 2020: Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations
* 2022: Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals

Barland, R. * 2006: Blind Quality Metric using a Perceptual Importance Map for JPEG-20000 Compressed Images
* 2013: Attentional mechanisms driven adaptive quantization and selective bit allocation scheme for H.264/AVC
Includes: Barland, R. Barland, R.[Remi]

Barlas, P. * 2013: Learning to Detect Tables in Scanned Document Images Using Line Information
* 2015: Language identification from handwritten documents
Includes: Barlas, P. Barlas, P.[Philippine]

Barlaud, M. * 1992: Image Coding Using Wavelet Transform
* 1994: deterministic algorithm for edge-preserving computed imaging using Legendre transform, A
* 1994: Motion estimation based on Markov random fields
* 1994: Pyramidal lattice vector quantization for multiscale image coding
* 1994: Two deterministic half-quadratic regularization algorithms for computed imaging
* 1995: Nonlinear image processing: modeling and fast algorithm for regularization with edge detection
* 1995: Towards entropy constrained lattice vector quantization
* 1996: Fractal Image Compression Based on Delaunay Triangulation and Vector Quantization
* 1996: Introduction to the Special Issue on Vector Quantization: Guest Editorial
* 1996: Multiresolution edge adaptive algorithm for low bit rate image coding
* 1996: Nonlinear Regularization Using Constrained Edges in Image Reconstruction
* 1996: Poisson statistic and half-quadratic regularization for emission tomography reconstruction algorithm
* 1997: Deterministic Edge-Preserving Regularization in Computed Imaging
* 1997: Microwave Imaging: Reconstructions from Experimental-Data Using Conjugate-Gradient and Enhancement by Edge-Preserving Regularization
* 1997: Segmentation and Edge-Preserving Restoration
* 1998: Attenuation map segmentation without reconstruction using a level set method in nuclear medicine imaging
* 1998: Motion-based segmentation by means of active contours
* 1998: Multispectral image coding using lattice VQ and the wavelet transform
* 1998: Optimal JPEG decoding
* 1998: Quantization noise removal for optimal transform decoding
* 1998: Variational Approach for Edge-Preserving Regularization Using Coupled PDEs
* 1999: Intraframe image decoding based on a nonlinear variational approach
* 1999: Inward and Outward Curve Evolution Using Level Set Method
* 1999: Optimal Joint Decoding/ Deblurring Method for Optical Images
* 2000: Detection and Tracking of Moving Objects Using a New Level Set Based Method
* 2000: Distortion-Rate Models for Entropy-Coded Lattice Vector Quantization
* 2000: EBWIC: A Low Complexity and Efficient Rate Constrained Wavelet Image Coder
* 2000: Quincunx Lifting Scheme for Lossy Image Compression
* 2000: Spatio-frequency Noise Distribution a Priori for Satellite Image Joint Denoising/deblurring
* 2001: B-spline Active Contours for Fast Video Segmentation
* 2001: Object-based Motion Method for Video Coding, An
* 2001: Optimization of the Joint Coding/decoding Structure
* 2001: Optimized Lifting Scheme for Two-dimensional Quincunx Sampling Images
* 2001: Region-based Active Contours for Video Object Segmentation with Camera Compensation
* 2001: Space-time segmentation using level set active contours applied to myocardial gated SPECT
* 2001: Video Objects Segmentation Using Eulerian Region-Based Active Contours
* 2002: 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection, A
* 2002: B-Spline Active Contour with Handling of Topology Changes for Fast Video Segmentation
* 2002: Channel adapted multiple description coding scheme using wavelet transform
* 2002: DREAM 2 S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation
* 2002: Regular Spatial B-Spline Active Contour for Fast Video Segmentation
* 2002: Stripe-based MSE control in image coding
* 2002: Tracking video objects using active contours
* 2002: Video segmentation using active contours on a group of pictures
* 2003: 3D Scan-Based Wavelet Transform and Quality Control for Video Coding
* 2003: DREAM 2 S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation
* 2003: Motion Vector Estimation and Encoding for Motion Compensated DWT
* 2003: Multiple description coding for internet video streaming
* 2003: Multiple description image and video coding for wireless channels
* 2003: Optimal weighted model-based bit allocation for quincunx sampled images
* 2003: Region-based active contours using geometrical and statistical features for image segmentation
* 2003: Shape gradients for histogram segmentation using active contours
* 2003: Smoothing B-spline active contour for fast and robust image and video segmentation
* 2004: Combining shape prior and statistical features for active contour segmentation
* 2004: Design of signal-adapted multidimensional lifting scheme for lossy coding
* 2004: model-based motion compensated video coder with JPEG2000 compatibility, A
* 2004: Shape gradient for multi-modal image segmentation using mutual information
* 2005: Puzzle Temporal Lifting for Wavelet-Based Video Coding
* 2005: Robust Real-Time Segmentation of Images and Videos Using a Smooth-Spline Snake-based algorithm
* 2006: Active Contour Segmentation with a Parametric Shape Prior: Link with the Shape Gradient
* 2006: Entropy-Based Distortion Measure for Image Coding
* 2006: Minimum-Entropy Procedure for Robust Motion Estimation, A
* 2006: Robust Motion-Based Segmentation in Video Sequences using Entropy Estimator
* 2006: Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
* 2006: Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
* 2007: Entropy-Based Distortion Measure and Bit Allocation for Wavelet Image Compression
* 2007: High Dimensional Framework for Joint Color-Spatial Segmentation, A
* 2007: High-dimensional statistical distance for region-of-interest tracking: Application to combining a soft geometric constraint with radiometry
* 2007: Joint Appearance and Deformable Shape for Nonparametric Segmentation
* 2007: JPEG2000-Compatible Scalable Scheme for Wavelet-Based Video Coding
* 2007: Optimal Motion Estimation for Wavelet Motion Compensated Video Coding
* 2007: Outer-Layer Based Tracking using Entropy as a Similarity Measure
* 2007: Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions
* 2007: Using the Shape Gradient for Active Contour Segmentation: From the Continuous to the Discrete Formulation
* 2008: Fast k nearest neighbor search using GPU
* 2008: Image restoration using a kNN-variant of the mean-shift
* 2008: Motion and Appearance Nonparametric Joint Entropy for Video Segmentation
* 2008: Sparse Multiscale Patches for Image Processing
* 2009: High-Dimensional Statistical Measure for Region-of-Interest Tracking
* 2010: Boosting Bayesian MAP Classification
* 2010: K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching
* 2010: Multi-class Leveraged k-NN for Image Classification
* 2010: Mutual information-based context quantization
* 2010: Patch confidence k-nearest neighbors denoising
* 2012: Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability
* 2012: Boosting k-NN for Categorization of Natural Scenes
* 2012: Classification of biological cells using bio-inspired descriptors
* 2014: Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification
* 2014: Hybrid weighted-stego detection using machine learning
* 2015: Gentle Nearest Neighbors Boosting over Proper Scoring Rules
* 2016: Nonconvex Regularization in Remote Sensing
* 2021: Classification and feature selection using a primal-dual method and projection on structured constraints
* 2021: Learning sparse deep neural networks using efficient structured projections on convex constraints for green AI
* 2022: Efficient Clustering Using Alternating Minimization And A Projection-Gradient Method For Dimension Reduction
Includes: Barlaud, M. Barlaud, M.[Michel]
94 for Barlaud, M.

Barleben, A.[Axel] * 2020: Novel Approach for Satellite-Based Turbulence Nowcasting for Aviation, A
* 2022: Novel Approach for the Global Detection and Nowcasting of Deep Convection and Thunderstorms, A

Barletta, G.[Giuseppe] * 1992: Digital curvature estimation for left ventricular shape analysis

Barletta, V.R.[Valentina R.] * 2019: Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations, An

Barletti, T.[Tommaso] * 2022: Contrastive Supervised Distillation for Continual Representation Learning

Barlit, A.[Alexander] * 2002: Iterative Tuning of Simple Cells for Contrast Invariant Edge Enhancement
* 2003: Iterative Orientation Tuning in V1: A Simple Cell Circuit with Cross-Orientation Suppression

Barlos, F. * 1998: Hermes Autonomous Vision System: The Flat Quadtree Model

Barlovatz Meimon, G. * 2008: Detection and Counting of in vivo cells to predict cell migratory potential
* 2010: Adaptive filtering and hypothesis testing: Application to cancerous cells detection
Includes: Barlovatz Meimon, G. Barlovatz-Meimon, G.

Barlow, J.[Jesse] * 2005: Efficient Block Noise Removal Based on Nonlinear Manifolds
* 2006: High Spatial Resolution Satellite Imagery, DEM Derivatives, and Image Segmentation for the Detection of Mass Wasting Processes
* 2013: Ten-Year Landsat Classification of Deforestation and Forest Degradation in the Brazilian Amazon
* 2016: Moving Towards Dynamic Ocean Management: How Well Do Modeled Ocean Products Predict Species Distributions?
Includes: Barlow, J.[Jesse] Barlow, J.[John] Barlow, J.[Jos] Barlow, J.[Jay]

Barlow, J.F.[Janet F.] * 2019: Review of Progress and Applications of Pulsed Doppler Wind LiDARs, A

Barlow, M. * 2008: ATOMS: Air Traffic Operations and Management Simulator

Barlow, M.C.[Mary C.] * 2022: Stream Boundary Detection of a Hyper-Arid, Polar Region Using a U-Net Architecture: Taylor Valley, Antarctica

Barlow, R.G.[Raymond G.] * 2018: Variations in Remotely-Sensed Phytoplankton Size Structure of a Cyclonic Eddy in the Southwest Indian Ocean

Index for "b"


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