Braga de Oliveira, D.C.[Douglas Coelho]
* 2019: New Technique for Binary Morphological Shape-Based Interpolation
Braga Neto, U.[Ulisses]
* 2010: ISMM 2007 Special Issue
Includes: Braga Neto, U.[Ulisses] Braga-Neto, U.[Ulisses]
Braga Neto, U.M.[Ulisses M.]
* 2002: Connectivity on Complete Lattices: New Results
* 2002: Topology Correction in Brain Cortex Segmentation Using a Multiscale, Graph-Based Algorithm
* 2003: multiscale approach to connectivity, A
* 2003: Theoretical Tour of Connectivity in Image Processing and Analysis, A
* 2004: Bolstered error estimation
* 2004: Grayscale level connectivity: theory and applications
* 2005: Constructing multiscale connectivities
* 2005: Exact performance of error estimators for discrete classifiers
* 2005: Impact of error estimation on feature selection
* 2005: Multiscale Connected Operators
* 2005: Object-based image analysis using multiscale connectivity
* 2009: On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers
* 2010: Exact correlation between actual and estimated errors in discrete classification
* 2013: Relationship between the accuracy of classifier error estimation and complexity of decision boundary
* 2018: fast Branch-and-Bound algorithm for U-curve feature selection, A
Includes: Braga Neto, U.M.[Ulisses M.] Braga-Neto, U.M.[Ulisses M.] Braga-Neto, U.M.
15 for Braga Neto, U.M.
Braga, A.M.[Alan M.]
* 2017: Level-set formulation based on Otsu method with morphological regularization
Braga, A.P.[Antonio P.]
* 2005: Unsupervised Segmentation of Text Fragments in Real Scenes
* 2009: IP-LSSVM: A two-step sparse classifier
* 2010: Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient
* 2019: Width optimization of RBF kernels for binary classification of support vector machines: A density estimation-based approach
Includes: Braga, A.P.[Antonio P.] Braga, A.P.[Antônio P.] Braga, A.P. Braga, A.P.[Antonio Padua]
Braga, D.[Daniela]
* 2007: European Portuguese Accent in Acoustic Models for Non-native English Speakers
Braga, F.
* 2021: Mapping Coastal and Wetland Vegetation Communities Using Multi-temporal Sentinel-2 Data
* 2022: Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry
* 2022: Towards an Integrated Observational System to Investigate Sediment Transport in the Tidal Inlets of the Lagoon of Venice
* 2023: Assessing the Accuracy of PRISMA Standard Reflectance Products in Globally Distributed Aquatic Sites
Includes: Braga, F. Braga, F.[Federica]
Braga, J.[Jose]
* 2013: Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data
* 2016: How to Build an Average Model When Samples are Variably Incomplete? Application to Fossil Data
* 2022: Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes
Includes: Braga, J.[Jose] Braga, J.[José] Braga, J.
Braga, J.R.G.[Jose R. G.]
* 2020: Tree Crown Delineation Algorithm Based on a Convolutional Neural Network
Includes: Braga, J.R.G.[Jose R. G.] Braga, J.R.G.[José R. G.]
Braga, L.H.
* 2018: Grading Prenatal Hydronephrosis from Ultrasound Imaging Using Deep Convolutional Neural Networks
Braga, R.
* 2014: Mobile Photo Recommendation and Logbook Generation Using Context-Tagged Images
* 2015: spatial partitioning heuristic for automatic adjustment of the 3D navigation speed in multiscale virtual environments, A
Braga, S.M.
* 2016: Energy Efficient Beacon Based Synchronization for Alarm Driven Wireless Sensor Networks
Bragagnolo, A.[Andrea]
* 2021: On the Role of Structured Pruning for Neural Network Compression
* 2022: Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization
* 2023: Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets
Bragagnolo, D.[Denis]
* 2009: High Resolution Data from Laser Scanning and Digital Photogrammetry Terrestrial Methodologies Test Site: An Architectural Surface
* 2012: High Resolution Survey of Phaistos Palace (Crete) By TLS and Terrestrial Photogrammetry
Includes: Bragagnolo, D.[Denis] Bragagnolo, D.
Bragais, M.[Milben]
* 2015: Image Segmentation Parameter Optimization Considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat Imagery
Bragantini, J.[Jordao]
* 2019: Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process?, The
* 2020: Grabber: A tool to improve convergence in interactive image segmentation
* 2022: Differential Dynamic Trees for Interactive Image Segmentation
* 2022: Rethinking interactive image segmentation: Feature space annotation
Includes: Bragantini, J.[Jordao] Bragantini, J.[Jordão]
Bragard, Q.
* 2017: Self-Balancing Decentralized Distributed Platform for Urban Traffic Simulation
Bragg, C.K.[Charles K.]
* 1998: Identification and Measurement of Convolutions in Cotton Fiber Using Image Analysis
Braggins, D.
* 1995: Critical-Look At Robot Vision, A
Braghetto, K.[Kelly]
* 2020: Toward Smart and Sustainable Cities
Braghin, F.[Francesco]
* 2022: Modelling of the Vertical Dynamics of an Electric Kick Scooter
Bragman, F.[Felix]
* 2019: Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
Bragman, F.J.S.
* 2017: Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior