Index for figu

Figueira, D.[Dario] * 2009: Optical Flow Based Detection in Mixed Human Robot Environments
* 2011: Multiple Hypothesis Tracking in camera networks
* 2011: Re-identification of Visual Targets in Camera Networks: A Comparison of Techniques
* 2013: Semi-supervised multi-feature learning for person re-identification
* 2014: HDA+ Data Set for Research on Fully Automated Re-identification Systems, The
* 2016: Window-Based Classifier for Automatic Video-Based Reidentification, A
Includes: Figueira, D.[Dario] Figueira, D.

Figueira, N.M. * 2015: Mission-Oriented Sensor Arrays and UAVs: A Case Study on Environmental Monitoring

Figueira, W.[Will] * 2015: Accuracy and Precision of Habitat Structural Complexity Metrics Derived from Underwater Photogrammetry
* 2019: Optimising Sampling Strategies in Coral Reefs Using Large-Area Mosaics

Figueiras Vidal, A.R. * 1987: On Using Cooccurrence Matrices to Detect Periodicities
* 2001: Genetic Algorithm for Noisy Channel Color Quantization Design, A
* 2003: Growing support vector classifiers with controlled complexity
* 2003: robust support vector algorithm for nonparametric spectral analysis, A
* 2016: Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression
* 2017: Boosting ensembles with controlled emphasis intensity
* 2017: Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets
* 2018: Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows
* 2023: Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost
* 2023: Optimum Bayesian thresholds for rebalanced classification problems using class-switching ensembles
Includes: Figueiras Vidal, A.R. Figueiras-Vidal, A.R. Figueiras-Vidal, A.R.[Aníbal R.]
10 for Figueiras Vidal, A.R.

Figueiras, F.G.[Francisco G.] * 2020: Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades
* 2021: Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades

Figueiredo, A.[Augusto] * 2021: MoRe: A Large-Scale Motorcycle Re-Identification Dataset

Figueiredo, E.[Elin] * 2021: Integrated Remote-Sensing and GIS Approach for Mapping Past Tin Mining Landscapes in Northwest Iberia, An

Figueiredo, E.O.[Evandro O.] * 2020: Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil

Figueiredo, F.[Francisco] * 2015: Automatic Detection of Immunogold Particles from Electron Microscopy Images

Figueiredo, G.K.D.A.[Gleyce Kelly Dantas Araujo] * 2019: Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region
* 2020: Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery
* 2023: Imputation of Missing Parts in UAV Orthomosaics Using PlanetScope and Sentinel-2 Data: A Case Study in a Grass-Dominated Area
* 2024: Mapping Integrated Crop-Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning
Includes: Figueiredo, G.K.D.A.[Gleyce Kelly Dantas Araujo] Figueiredo, G.K.D.A.[Gleyce Kelly Dantas Araújo] Figueiredo, G.K.D.A.[Gleyce K. D. A.]

Figueiredo, I.N.[Isabel N.] * 2010: Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci
* 2011: Image-Driven Parameter Estimation in Absorption-Diffusion Models of Chromoscopy
* 2012: Segmentation Model and Application to Endoscopic Images, A
* 2014: Automated Polyp Detection in Colon Capsule Endoscopy
* 2014: Automatic Optic Disc Detection in Retinal Fundus Images Based on Geometric Features
* 2014: Pattern Classes in Retinal Fundus Images Based on Function Norms
* 2014: Wavelet-Based Computer-Aided Detection of Bright Lesions in Retinal Fundus Images
* 2016: Bag of Visual Words Approach for Bleeding Detection in Wireless Capsule Endoscopy Images
* 2017: Hybrid multi-GPU computing: accelerated kernels for segmentation and object detection with medical image processing applications
* 2018: Spatially adaptive total variation deblurring with split Bregman technique
Includes: Figueiredo, I.N.[Isabel N.] Figueiredo, I.N.
10 for Figueiredo, I.N.

Figueiredo, J.[Joana] * 2013: E-Cadherin Radial Distribution Characterization for Mutation Detection Purposes

Figueiredo, L. * 2004: Dynamical analysis of freeway traffic
* 2012: Improving motor rehabilitation process through a natural interaction based system using Kinect sensor
* 2021: Generalizable Multi-Camera 3D Pedestrian Detection
* 2022: impact of domain randomization on cross-device monocular deep 6DoF detection, The
Includes: Figueiredo, L. Figueiredo, L.[Lucas]

Figueiredo, L.S.[Lucas Silva] * 2023: High-level context representation for emotion recognition in images

Figueiredo, M. * 2013: Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems
* 2023: Enhancing Object Detection in Maritime Environments Using Metadata
* 2024: ATLAS: Latest Advancements and First Observations
Includes: Figueiredo, M. Figueiredo, M.[Mónica] Figueiredo, M.[Mário]

Figueiredo, M.A.T.[Mario A.T.] * 1992: Bayesian Estimation of Ventricular Contours in Angiographic Images
* 1993: Simulated Tearing: An Algorithm for Discontinuity-Preserving Visual Surface Reconstruction
* 1994: Adaptive discontinuity location in image restoration
* 1994: Sequential and Parallel Image Restoration: Neural Network Implementations
* 1995: Interferometric image reconstruction as a nonlinear Bayesian estimation problem
* 1996: Unsupervised contour estimation
* 1997: Adaptive B-Splines and Boundary Estimation
* 1997: Unsupervised Image Restoration and Edge Location Using Compound Gauss-Markov Random-Fields and the MDL Principle
* 1998: Absolute Phase Image-Reconstruction: A Stochastic Nonlinear Filtering Approach
* 1999: Unsupervised progressive parsing of Poisson fields using minimum description length criteria
* 2000: On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
* 2000: Unsupervised Contour Representation and Estimation Using B-Splines and a Minimum Description Length Criterion
* 2000: Unsupervised Segmentation of Poisson Data
* 2000: Unsupervised Selection and Estimation of Finite Mixture Models
* 2001: Bayesian Learning of Sparse Classifiers
* 2001: Coding Theoretic Approach to Image Segmentation
* 2001: Image Classification for Content-Based Indexing
* 2001: Wavelet-Based Image Estimation: An Empirical Bayes Approach Using Jeffreys' Noninformative Prior
* 2002: Image restoration under wavelet-domain priors: An expectation-maximization approach
* 2002: Satellite and aerial image deconvolution using an EM method with complex wavelets
* 2002: Unsupervised Learning of Finite Mixture Models
* 2003: Adaptive sparseness for supervised learning
* 2003: Class-adapted image compression using independent component analysis
* 2003: EM algorithm for wavelet-based image restoration, An
* 2003: Guest editors' Introduction to the special section on energy minimization methods in computer vision and pattern recognition
* 2003: Navigating in Manhattan: 3D orientation from video without correspondences
* 2003: sequential pruning strategy for the selection of the number of states in hidden Markov models, A
* 2004: Bayesian Approach to Joint Feature Selection and Classifier Design, A
* 2004: Defect Detection in Textile Images Using Gabor Filters
* 2004: Guest editors' Introduction to the special section on energy minimization methods in computer vision and pattern recognition
* 2004: Similarity-Based Classification of Sequences Using Hidden Markov Models
* 2004: Simultaneous Feature Selection and Clustering Using Mixture Models
* 2005: Bayesian Image Segmentation Using Gaussian Field Priors
* 2005: Bayesian Image Segmentation Using Wavelet-Based Priors
* 2005: Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles
* 2005: Information Theoretic Text Classification Using the Ziv-Merhav Method
* 2005: Orientation in Manhattan: Equiprojective Classes and Sequential Estimation
* 2005: Recognition of Human Activities Using Space Dependent Switched Dynamical Models
* 2005: Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds
* 2006: On the use of independent component analysis for image compression
* 2006: On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparison with Wavalet Denoising
* 2007: Blind Estimation of Motion Blur Parameters for Image Deconvolution
* 2007: Cosegmentation for Image Sequences
* 2007: Majorization-Minimization Algorithms for Wavelet-Based Image Restoration
* 2007: New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration, A
* 2007: On-Line Classification of Human Activities
* 2007: Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications
* 2007: Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
* 2008: Independent increment processes for human motion recognition
* 2008: iterative algorithm for linear inverse problems with compound regularizers, An
* 2008: Unsupervised learning of motion patterns using generative models
* 2009: Soft clustering using weighted one-class support vector machines
* 2009: Total variation restoration of speckled images using a split-bregman algorithm
* 2009: Trajectory analysis in natural images using mixtures of vector fields
* 2009: Trajectory Modeling Using Mixtures of Vector Fields
* 2010: 2D Shape Recognition Using Information Theoretic Kernels
* 2010: augmented Lagrangian approach to linear inverse problems with compound regularization, An
* 2010: Classification of complex pedestrian activities from trajectories
* 2010: Combining free energy score spaces with information theoretic kernels: Application to scene classification
* 2010: Discriminative model selection for object motion recognition
* 2010: Fast Image Recovery Using Variable Splitting and Constrained Optimization
* 2010: Frame-based deconvolution of Poissonian images using alternating direction optimization
* 2010: Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
* 2010: On the Role of Sparse and Redundant Representations in Image Processing
* 2010: One-Lead ECG-based Personal Identification Using Ziv-Merhav Cross Parsing
* 2010: Restoration of Poissonian Images Using Alternating Direction Optimization
* 2010: Trajectory Classification Using Switched Dynamical Hidden Markov Models
* 2011: Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, An
* 2011: Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling
* 2011: Image super-segmentation: Segmentation with multiple labels from shuffled observations
* 2011: Trajectory Analysis Using Switched Motion Fields: A Parametric Approach
* 2011: Unsupervised Joint Feature Discretization and Selection
* 2012: Efficient feature selection filters for high-dimensional data
* 2012: unsupervised approach to feature discretization and selection, An
* 2013: Activity Recognition Using a Mixture of Vector Fields
* 2013: Blind image deblurring with unknown boundaries using the alternating direction method of multipliers
* 2013: Consensus Clustering Using Partial Evidence Accumulation
* 2013: Deconvolving Images With Unknown Boundaries Using the Alternating Direction Method of Multipliers
* 2013: Frame-based image deblurring with unknown boundary conditions using the alternating direction method of multipliers
* 2013: Incremental Bit Allocation Strategy for Supervised Feature Discretization, An
* 2013: Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields
* 2013: Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures
* 2014: Decreasing Weighted Sorted L_1 Regularization
* 2014: Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus
* 2014: Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria
* 2015: Exploiting the Bin-Class Histograms for Feature Selection on Discrete Data
* 2015: Moving horizon estimation of pedestrian interactions using multiple velocity fields
* 2016: Image restoration and reconstruction using variable splitting and class-adapted image priors
* 2017: biclustering approach based on factor graphs and the max-sum algorithm, A
* 2017: Blind image deblurring using class-adapted image priors
* 2017: Class-specific image denoising using importance sampling
* 2017: Class-specific poisson denoising by patch-based importance sampling
* 2017: Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding
* 2017: Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering
* 2017: Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm
* 2017: Spike and slab biclustering
* 2018: Clustering via binary embedding
* 2018: Robust Sparse Recovery in Impulsive Noise via Continuous Mixed Norm
* 2019: Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising, A
* 2019: External Patch-Based Image Restoration Using Importance Sampling
* 2019: Multiple Motion Fields for Multiple Types of Agents
* 2019: Plug-and-play approach to class-adapted blind image deblurring
* 2019: Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing
* 2020: Ultrasound And Magnetic Resonance Image Fusion Using A Patch-Wise Polynomial Model
* 2021: Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting
Includes: Figueiredo, M.A.T.[Mario A.T.] Figueiredo, M.A.T.[Mário A.T.] Figueiredo, M.A.T. Figueiredo, M.A.T.[Mario A. T.] Figueiredo, M.A.T.[Mário A. T.]
105 for Figueiredo, M.A.T.

Figueiredo, N.[Nelson] * 2020: Exploring Workout Repetition Counting and Validation Through Deep Learning
* 2021: Deep learning approaches for workout repetition counting and validation

Figueiredo, P.[Patricia] * 2011: Automatic HyperParameter Estimation in fMRI
* 2012: Decoding visual brain states from fMRI using an ensemble of classifiers
* 2012: Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease
* 2013: Bayesian Approach to Perfusion Imaging Using ASL MRI, A
* 2013: Characterization and Reduction of MR-Environment-Related EEG Artefacts
* 2013: Scalp EEG Continuous Space ERD/ERS Quantification
* 2016: Summarization of films and documentaries based on subtitles and scripts
* 2023: Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding
Includes: Figueiredo, P.[Patricia] Figueiredo, P.[Patrícia] Figueiredo, P.[Pedro] Figueiredo, P.[Paulo] Figueirêdo, P.[Pedro]
8 for Figueiredo, P.

Figueiredo, P.N.[Pedro N.] * 2010: Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci
* 2011: Image-Driven Parameter Estimation in Absorption-Diffusion Models of Chromoscopy
* 2012: Segmentation Model and Application to Endoscopic Images, A
* 2014: Automated Polyp Detection in Colon Capsule Endoscopy
Includes: Figueiredo, P.N.[Pedro N.] Figueiredo, P.N.

Figueiredo, R.[Rui] * 2019: Learning to Perform Visual Tasks from Human Demonstrations
* 2020: Learning to Search for Objects in Images from Human Gaze Sequences

Figueiredo, V.F. * 2019: Point Cloud Compression Incorporating Region of Interest Coding
* 2021: Set Partitioning in Hierarchical Trees for Point Cloud Attribute Compression
* 2024: Embedded Coding of Point Cloud Attributes
Includes: Figueiredo, V.F. Figueiredo, V.F.[Victor F.]

Figuera, M.[Marianna] * 2020: Abstracting Stone Walls for Visualization and Analysis

Figuera, R.M.[Ramiro Marco] * 2022: Depth to Diameter Analysis on Small Simple Craters at the Lunar South Pole: Possible Implications for Ice Harboring

Figueras i Ventura, R.M. * 2001: MPEG-7 Camera
* 2006: Low-Rate and Flexible Image Coding With Redundant Representations
* 2007: Statistically Driven Sparse Image Approximation
* 2009: Geometric Video Approximation Using Weighted Matching Pursuit
Includes: Figueras i Ventura, R.M. Figueras i Ventura, R.M.[Rosa M.]

Figueras, E.[Eva] * 2014: Semantic-Based Image Analysis with the Goal of Assisting Artistic Creation

Figueredo, G.P. * 2019: Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom

Figueroa Casas, A. * 2015: Determining the effects of ENSO phenomena on Andean areas by applying radiometric indices on long time series
* 2015: Land cover change dynamics and multi-factor analysis in high mountains basins of Colombian Andes
* 2017: Analysis of Riparian forest buffers dynamics in Colombian basins by Landsat Time Series
* 2023: Multiclass Land Use and Land Cover Classification of Andean Sub-Basins in Colombia with Sentinel-2 and Deep Learning
Includes: Figueroa Casas, A. Figueroa-Casas, A. Figueroa-Casas, A.[Apolinar]

Figueroa Flores, C.[Carola] * 2021: Saliency for free: Saliency prediction as a side-effect of object recognition
Includes: Figueroa Flores, C.[Carola] Figueroa-Flores, C.[Carola]

Figueroa Nazuno, J. * 2006: Eigenconjugation: An Approach for Computing Image Similarity
Includes: Figueroa Nazuno, J. Figueroa-Nazuno, J.

Figueroa Preciado, G.[Gudelia] * 2018: Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California
* 2020: Chlorophyll a Concentration Distribution on the Mainland Coast of the Gulf of California, Mexico
* 2022: Variability of Chl a Concentration of Priority Marine Regions of the Northwest of Mexico
Includes: Figueroa Preciado, G.[Gudelia] Figueroa-Preciado, G.[Gudelia]

Figueroa Villanueva, M.A.[Miguel A.] * 2003: Comparative Performance Analysis of JPEG 2000 vs. WSQ for Fingerprint Image Compression, A
* 2004: Secure Protocol for Data Hiding in Compressed Fingerprint Images, A
* 2006: Super-Resolution Face View Synthesis using a Mobile Face Capture System
Includes: Figueroa Villanueva, M.A.[Miguel A.] Figueroa-Villanueva, M.A.[Miguel A.] Figueroa-Villanueva, M.A.

Figueroa, A.[Alejandra] * 2021: Fine-Grained Large-Scale Vulnerable Communities Mapping via Satellite Imagery and Population Census Using Deep Learning

Figueroa, A.J.[Anjuli Jain] * 2022: Mapping Sugarcane in Central India with Smartphone Crowdsourcing

Figueroa, D.[Dante] * 2021: Preliminary Study of Wave Energy Resource Using an HF Marine Radar, Application to an Eastern Southern Pacific Location: Advantages and Opportunities, A
* 2023: Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery
Includes: Figueroa, D.[Dante] Figueroa, D.[Deyanira]

Figueroa, E. * 2016: How Much Carbon Is Stored In Deserts? An Approach For The Chilean Atacama Desert Using Landsat-8 Products

Figueroa, H.R. * 2017: Finding learned obstacles to avoid collisions in autonomous robotic navigation

Figueroa, H.V.R. * 2016: Estimation of time-to-contact from Tau-margin and statistical analysis of behavior

Figueroa, K.[Karina] * 2008: Effective Proximity Retrieval by Ordering Permutations
* 2014: Effective Permutant Selection Heuristic for Proximity Searching in Metric Spaces, An
* 2014: Fast Automatic Detection of Wildlife in Images from Trap Cameras
* 2015: Boosting the Permutation Based Index for Proximity Searching
* 2016: Feature Extraction as Ellipse of Wild-Life Images
* 2017: Fixed Height Queries Tree Permutation Index for Proximity Searching
* 2017: Improving the permutation-based proximity searching algorithm using zones and partial information
* 2018: Improving the List of Clustered Permutation on Metric Spaces for Similarity Searching on Secondary Memory
* 2021: Shortening the Candidate List for Similarity Searching Using Inverted Index
9 for Figueroa, K.

Figueroa, L.[Luis] * 2024: Latent Feature-Guided Diffusion Models for Shadow Removal

Figueroa, M.[Marissa] * 2020: Automated High-Resolution Time Series Mapping of Mangrove Forests Damaged by Hurricane Irma in Southwest Florida

Figueroa, M.O.[Miguel Ochoa] * 2021: Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks

Figueroa, N.[Nadia] * 2012: 3D Registration for Verification of Humanoid Justin's Upper Body Kinematics
* 2012: Segmentation and Pose Estimation of Planar Metallic Objects

Figueroa, P.[Pablo] * 2007: Easying MR Development with Eclipse and InTml
* 2012: Three-dimensional digitization of highly reflective and transparent objects using multi-wavelength range sensing
Includes: Figueroa, P.[Pablo] Figueroa, P.

Figueroa, P.A.[Pablo A.] * 2008: Building New Mixed Reality Devices
* 2014: Ramps are better than stairs to reduce cybersickness in applications based on a HMD and a Gamepad
* 2015: Methods to reduce cybersickness and enhance presence for in-place navigation techniques
Includes: Figueroa, P.A.[Pablo A.] Figueroa, P.A.

Figueroa, P.J. * 2004: Tracking soccer players using the graph representation
* 2005: Tracking soccer players aiming their kinematical motion analysis
* 2006: Background recovering in outdoor image sequences: An example of soccer players segmentation
Includes: Figueroa, P.J. Figueroa, P.J.[Pascual J.]

Figueroa, R. * 2007: Hairline Fracture Detection using MRF and Gibbs Sampling
* 2019: Precipitation Characteristics at Two Locations in the Tropical Andes by Means of Vertically Pointing Micro-Rain Radar Observations
Includes: Figueroa, R. Figueroa, R.[Rafael]

Figueroa, R.L.[Rosa L.] * 2011: Automatic Search of Nursing Diagnoses

Figueroa, S.M.[Steven M.] * 2021: MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast

Figueroa, S.N.[Silvio Nilo] * 2021: Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations
* 2023: Towards Unified Online-Coupled Aerosol Parameterization for the Brazilian Global Atmospheric Model (BAM): Aerosol-Cloud Microphysical-Radiation Interactions

Figura, T.[Tadeusz] * 2021: Coupling of Dual Channel Waveform ALS and Sonar for Investigation of Lake Bottoms and Shore Zones

Figurnov, M.[Michael] * 2017: Spatially Adaptive Computation Time for Residual Networks

Figurska, M.[Marta] * 2020: 3D Modeling of Discontinuity in the Spatial Distribution of Apartment Prices Using Voronoi Diagrams

Figurski, M.[Mariusz] * 2018: Assessment of the Impact of GNSS Processing Strategies on the Long-Term Parameters of 20 Years IWV Time Series

Figus, C.[Cecile] * 2021: Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification
Includes: Figus, C.[Cecile] Figus, C.[Cécile]

Index for "f"


Last update: 6-May-24 16:26:51
Use price@usc.edu for comments.