Index for loza

Loza, A. * 2007: Effect of Pixel-Level Fusion on Object Tracking in Multi-Sensor Surveillance Video, The
* 2008: Advanced algorithms for real-time video tracking with multiple targets
* 2009: Structural similarity-based object tracking in multimodality surveillance videos
* 2010: Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients
* 2010: Non-Gaussian model-based fusion of noisy images in the wavelet domain
Includes: Loza, A. Loza, A.[Artur]

Loza, L.A. * 2019: Quantification of Ventilation and Gas Uptake in Free-Breathing Mice With Hyperpolarized 129Xe MRI

Lozano Albalate, M.T. * 2002: Perception planning for an exploration task of a 3D environment

Lozano Fuentes, S.[Saul] * 2014: Correlating Remote Sensing Data with the Abundance of Pupae of the Dengue Virus Mosquito Vector, Aedes aegypti, in Central Mexico
Includes: Lozano Fuentes, S.[Saul] Lozano-Fuentes, S.[Saul]

Lozano Garcia, D. * 2013: Assessing hydrometeorological impacts with terrestrial and aerial Lidar data in Monterrey, México

Lozano Garcia, D.F.[Diego F.] * 2020: Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets
* 2021: Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions
* 2021: Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation
Includes: Lozano Garcia, D.F.[Diego F.] Lozano-García, D.F.[Diego F.]

Lozano Parra, J.[Javier] * 2015: Does HDR Pre-Processing Improve the Accuracy of 3D Models Obtained by Means of two Conventional SfM-MVS Software Packages? The Case of the Corral del Veleta Rock Glacier
Includes: Lozano Parra, J.[Javier] Lozano-Parra, J.[Javier]

Lozano Perez, T.[Tomas] * 1977: Parsing Intensity Profiles
* 1980: Spatial Planning: A Configuration Space Approach
* 1982: Subdivision Algorithm in Configuration Space for Findpath with Rotation, A
* 1983: Model-Based Recognition and Localization from Sparse Range or Tactile Data
* 1983: Spatial Planning: A Configuration Space Approach
* 1983: Subdivision Algorithm in Configuration Space for Findpath with Rotation, A
* 1983: Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane
* 1984: Model-Based Recognition and Localization from Sparse Range or Tactile Data
* 1984: Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane
* 1985: Recognition and Localization of Overlapping Parts from Sparse Data
* 1985: Subdivision Algorithm in Configuration Space for Findpath with Rotation, A
* 1986: Model-Based Recognition and Localization from Sparse Range Data
* 1987: Finding Cylinders in Range Data
* 1987: Localizing Overlapping Parts by Searching the Interpretation Tree
* 1987: Model-Based Recognition and Localization from Sparse Range or Tactile Data
* 1987: Recognition and Localization of Overlapping Parts from Sparse Data
* 1987: Simple Motion-Planning Algorithm for General Robot Manipulators, A
* 1989: Task-Level Planning of Pick-and-Place Robot Motions
* 1990: Object Recognition by Computer: The Role of Geometric Constraints
* 1992: HANDEY: A Robot Task Planner
* 1993: Automatic Tube Inspection System That Finds Cylinders in Range Data, An
* 1993: Recognizing 3D Objects Using Constrained Search
* 1994: Automated Registration for Visualization in Surgery
* 1994: Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization, An
* 1995: Evaluating and Validating an Automated Registration System for Enhanced Reality Visualization in Surgery
* 1996: Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization, An
* 1996: Dense Depth Maps from Epipolar Images
* 1997: Dense Depth Maps from Epipolar Images
* 1997: Forest of Sensors, A
* 1998: Dense Surface Patches from Thousands of Pose Iamges
* 1999: Framework for Learning Query Concepts in Image Classification, A
* 2006: Matching Interest Points Using Affine Invariant Concentric Circles
* 2007: Virtual Training for Multi-View Object Class Recognition
* 2008: Learning Grammatical Models for Object Recognition
* 2009: Automatic Class-Specific 3D Reconstruction from a Single Image
* 2009: Finding aircraft collision-avoidance strategies using policy search methods
* 2009: Learning to generate novel views of objects for class recognition
* 2010: Hierarchical Task and Motion Planning in the Now
Includes: Lozano Perez, T.[Tomas] Lozano-Perez, T.[Tomas] Lozano-Perez, T. Lozano-Perez, T.[Thomas]
38 for Lozano Perez, T.

Lozano Tello, A.[Adolfo] * 2021: Crop Classification of Satellite Imagery Using Synthetic Multitemporal and Multispectral Images in Convolutional Neural Networks
Includes: Lozano Tello, A.[Adolfo] Lozano-Tello, A.[Adolfo]

Lozano Vega, G.[Gildardo] * 2013: Classification of Pollen Apertures Using Bag of Words
Includes: Lozano Vega, G.[Gildardo] Lozano-Vega, G.[Gildardo]

Lozano, A.C. * 2016: Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion

Lozano, C.[Carlos] * 2023: Quick Estimation Model for Mapping Earthquake Impacts in Bogota, Colombia

Lozano, D.[David] * 2022: Analysis of the Feasibility of UAS-Based EMI Sensing for Underground Utilities Detection and Mapping

Lozano, J. * 2013: Visual analytics for built-up area understanding from metric resolution Earth observation data

Lozano, J.A. * 1996: Convergence Properties of High-Order Boltzmann Machines
* 1999: Applying genetic algorithms to search for the best hierarchical clustering of a dataset
* 1999: empirical comparison of four initialization methods for the K-Means algorithm, An
* 1999: Learning Bayesian networks for clustering by means of constructive induction
* 2000: improved Bayesian structural EM algorithm for learning Bayesian networks for clustering, An
* 2001: Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks
* 2006: Bayesian Model Averaging of Naive Bayes for Clustering
* 2007: Learning Bayesian classifiers from positive and unlabeled examples
* 2009: Feature subset selection from positive and unlabelled examples
* 2010: Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
* 2013: general framework for the statistical analysis of the sources of variance for classification error estimators, A
* 2013: Learning Bayesian network classifiers from label proportions
* 2016: Weak supervision and other non-standard classification problems: A taxonomy
* 2017: Measuring the class-imbalance extent of multi-class problems
* 2019: On-line Elastic Similarity Measures for time series
* 2020: Mutual information based feature subset selection in multivariate time series classification
* 2022: Time series classifier recommendation by a meta-learning approach
* 2023: Fast computation of cluster validity measures for Bregman divergences and benefits
Includes: Lozano, J.A. Lozano, J.A.[Jose A.] Lozano, J.A.[Jose Antonio]
18 for Lozano, J.A.

Lozano, L.R.[Luca Ruiz] * 2022: Evaluation of the Capability of ExoMars-TGO NOMAD Infrared Nadir Channel for Water Ice Clouds Detection on Mars
* 2023: Minimum Noise Fraction Analysis of TGO/NOMAD LNO Channel High-Resolution Nadir Spectra of Mars

Lozano, M.[Manuel] * 2005: Stratification for scaling up evolutionary prototype selection
* 2006: Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
* 2017: Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review
* 2021: Assessment of Geometric Models for the Approximation of Aorta Cross-Sections
* 2021: Estimation of Personalized Minimal Purkinje Systems From Human Electro-Anatomical Maps
* 2021: Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients
Includes: Lozano, M.[Manuel] Lozano, M.[Miguel]

Lozano, M.A. * 2006: Protein classification by matching and clustering surface graphs
* 2007: Constellations and the Unsupervised Learning of Graphs
* 2007: Graph-Based Methods for Retinal Mosaicing and Vascular Characterization
* 2008: Birkhoff polytopes, heat kernels and graph complexity
* 2008: Polytopal Graph Complexity, Matrix Permanents, and Embedding
* 2009: Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering
* 2009: Region and constellations based categorization of images with unsupervised graph learning
* 2009: robust Graph Transformation Matching for non-rigid registration, A
* 2010: Bypass information-theoretic shape similarity from non-rigid points-based alignment
* 2010: Heat Flow-Thermodynamic Depth Complexity in Networks
* 2011: Graph matching through entropic manifold alignment
* 2011: Information-Geometric Graph Indexing from Bags of Partial Node Coverages
* 2015: Skeletal Graphs from Schrödinger Magnitude and Phase
* 2016: Dirichlet Graph Densifiers
* 2017: Graph Similarity through Entropic Manifold Alignment
* 2017: mutual information between graphs, The
* 2018: Dirichlet Densifiers: Beyond Constraining the Spectral Gap
* 2018: net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking
* 2018: Semi-supervised Graph Rewiring with the Dirichlet Principle
* 2019: Dirichlet densifier bounds: Densifying beyond the spectral gap constraint
* 2019: Dirichlet densifiers for improved commute times estimation
* 2021: Network embedding from the line graph: Random walkers and boosted classification
Includes: Lozano, M.A. Lozano, M.A.[Miguel A.] Lozano, M.A.[Miguel Angel]
22 for Lozano, M.A.

Lozano, M.G.[Marianela Garcia] * 2023: Real-Time Estimation of Heart Rate in Situations Characterized by Dynamic Illumination using Remote Photoplethysmography
Includes: Lozano, M.G.[Marianela Garcia] Lozano, M.G.[Marianela García]

Lozano, N.[Narcis] * 2004: Platform to Extract Knowledge from Graphic Documents. Application to an Architectural Sketch Understanding Scenario, A
Includes: Lozano, N.[Narcis] Lozano, N.[Narcís]

Lozano, P. * 2019: Mapping the Spatial Distribution of Colombia's Forest Aboveground Biomass Using SAR and Optical Data

Lozano, R.[Rafael] * 2000: Dynamic Video Abstract Generation using an object DBMS
* 2014: Fast and viewpoint robust human detection in uncluttered environments
* 2016: Dynamic collaboration of far-infrared and visible spectrum for human detection
Includes: Lozano, R.[Rafael] Lozano, R.

Lozano, V.[Vincent] * 1996: Color Object Detection Using Pyramidal Adjacency Graphs

Lozanski, G.[Gerard] * 2010: Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma, An

Index for "l"