Index for lamp

Lamp, C. * 2017: Analysis, Comparison, and Assessment of Latent Fingerprint Image Preprocessing

Lampada, D.[Despoina] * 2018: Is E-learning Really Flexible? Ideas for Building Effective Interactive Learning Environments for Cultural Heritage

Lamparelli, M.C.[Marta C.] * 2023: Machine learning for cyanobacteria mapping on tropical urban reservoirs using PRISMA hyperspectral data

Lamparelli, R.A.C.[Rubens A. C.] * 2011: Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic Programming
* 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
* 2023: SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine Learning Algorithms
* 2024: Mapping Integrated Crop-Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning
Includes: Lamparelli, R.A.C.[Rubens A. C.] Lamparelli, R.A.C.[Rubens Augusto Camargo]

Lampasona, C.[Constanza] * 2006: Method for Interpreting Pixel Grey Levels in Digital Mammography, A

Lampe, A.[Ajda] * 2022: C-VTON: Context-Driven Image-Based Virtual Try-On Network

Lampe, B.[Bernard] * 2020: N-FINDER for Finding Endmembers in Compressively Sensed Band Domain
* 2020: Restricted Entropy and Spectrum Properties for the Compressively Sensed Domain in Hyperspectral Imaging

Lampe, B.H. * 2019: Hyperspectral Image Classification via Compressive Sensing

Lampe, M. * 2012: Identifying Virus-Cell Fusion in Two-Channel Fluorescence Microscopy Image Sequences Based on a Layered Probabilistic Approach

Lampe, S.[Sebastian] * 2023: Dynamic Model-Based Safety Margins for High-Density Matrix Headlight Systems

Lampel, M. * 2006: TES Ground Data System Software

Lampert, A. * 2013: Aerosol Variability Observed with RPAS
* 2021: Airborne LiDAR Measurements of Sea Surface Properties in the German Bight
Includes: Lampert, A. Lampert, A.[Astrid]

Lampert, C.H.[Christoph H.] * 2004: Document Capture using Stereo Vision
* 2005: Document Image Dewarping using Robust Estimation of Curled Text Lines
* 2005: Oblivious Document Capture and Real-Time Retrieval
* 2006: Anisotropic Gaussian Filtering using Fixed Point Arithmetic
* 2006: Machine Learning for Video Compression: Macroblock Mode Decision
* 2006: Optimal Nonorthogonal Separation of the Anisotropic Gaussian Convolution Filter, An
* 2006: Satellite Tracks Removal in Astronomical Images
* 2007: Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space
* 2008: Beyond sliding windows: Object localization by efficient subwindow search
* 2008: Correlational spectral clustering
* 2008: Kernel Methods in Computer Vision
* 2008: Learning to Localize Objects with Structured Output Regression
* 2008: Multiple Kernel Learning Approach to Joint Multi-class Object Detection, A
* 2008: Partitioning of image datasets using discriminative context information
* 2009: Active Structured Learning for High-Speed Object Detection
* 2009: Combining appearance and motion for human action classification in videos
* 2009: Detecting objects in large image collections and videos by efficient subimage retrieval
* 2009: Efficient Subwindow Search: A Branch and Bound Framework for Object Localization
* 2009: Global connectivity potentials for random field models
* 2009: Learning to detect unseen object classes by between-class attribute transfer
* 2009: Object Localization with Global and Local Context Kernels
* 2010: efficient divide-and-conquer cascade for nonlinear object detection, An
* 2010: Global Interactions In Random Field Models: A Potential Function Ensuring Connectedness
* 2010: On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation
* 2010: Optimizing one-shot recognition with micro-set learning
* 2010: Structured Learning and Prediction in Computer Vision
* 2010: Unsupervised Object Discovery: A Comparison
* 2010: Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
* 2011: Enforcing topological constraints in random field image segmentation
* 2011: Semi-supervised kernel canonical correlation analysis with application to human fMRI
* 2012: Augmented Attribute Representations
* 2012: Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer
* 2012: Guest Editorial: Special Issue on Structured Prediction and Inference
* 2012: Information Theoretic Clustering Using Minimum Spanning Trees
* 2012: Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
* 2013: Drosophila Embryo Stage Annotation Using Label Propagation
* 2013: Learning to Rank Using Privileged Information
* 2014: Attribute-Based Classification for Zero-Shot Visual Object Categorization
* 2014: Closed-Form Approximate CRF Training for Scalable Image Segmentation
* 2014: CoConut: Co-Classification with Output Space Regularization
* 2014: Deep Fisher Kernels: End to End Learning of the Fisher Kernel GMM Parameters
* 2015: Classifier adaptation at prediction time
* 2015: Curriculum learning of multiple tasks
* 2015: multi-plane block-coordinate frank-wolfe algorithm for training structural SVMs with a costly max-oracle, A
* 2015: Predicting the future behavior of a time-varying probability distribution
* 2016: Improving Weakly-Supervised Object Localization By Micro-Annotation
* 2016: Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
* 2017: iCaRL: Incremental Classifier and Representation Learning
* 2017: Zero-Shot Learning: The Good, the Bad and the Ugly
* 2018: Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis
* 2018: KS(conf): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications
* 2018: Learning Intelligent Dialogs for Bounding Box Annotation
* 2019: Detecting Visual Relationships Using Box Attention
* 2019: Distillation-Based Training for Multi-Exit Architectures
* 2019: Zero-Shot Learning: A Comprehensive Evaluation of the Good, the Bad and the Ugly
* 2020: Does SGD Implicitly Optimize for Smoothness?
* 2020: Flexible Selection Scheme for Minimum-Effort Transfer Learning, A
* 2020: KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications
* 2020: KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications
* 2020: Leveraging 2D Data to Learn Textured 3D Mesh Generation
* 2020: Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios
* 2022: Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks
* 2022: Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift
Includes: Lampert, C.H.[Christoph H.] Lampert, C.H.
63 for Lampert, C.H.

Lampert, T.[Tom] * 2015: Evaluating a Miniature Multisensor Biosignal Recorder for Unsupervised Parkinson's Disease Monitoring
* 2023: Constrained DTW preserving shapelets for explainable time-series clustering
Includes: Lampert, T.[Tom] Lampert, T.[Thomas]

Lampert, T.A.[Thomas A.] * 2008: Active contour detection of linear patterns in spectrogram images
* 2009: Multi-scale Piecewise-Linear Feature Detector for Spectrogram Tracks, A
* 2010: active contour algorithm for spectrogram track detection, An
* 2011: detailed investigation into low-level feature detection in spectrogram images, A
* 2013: On the detection of tracks in spectrogram images
* 2016: Empirical Study Into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation, An
Includes: Lampert, T.A.[Thomas A.] Lampert, T.A.

Lamperter, M. * 2012: Ultramap V3: A Revolution In Aerial Photogrammetry

Lampinen, J. * 1995: Distortion Tolerant Pattern-Recognition Based on Self-Organizing Feature-Extraction
* 1997: Determining the Optimal Structure for Multilayer Self-Organizing Map with Genetic Algorithm
* 1997: Using Background Knowledge in Multilayer Perceptron Learning
* 1999: Bayesian Neural Networks for Image Analysis
* 1999: Using Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
* 2000: Bayesian MLP neural networks for image analysis
* 2003: Learning an Object Model for Feature Matching in Clutter
* 2003: Modeling of Pose Effects in Oriented Filter Responses for Head Pose Estimation
* 2004: Bayesian Occlusion Model for Sequential Object Matching, A
* 2004: Efficient proposal distributions for MCMC image segmentation
* 2005: Approximate Steerability of Gabor Filters for Feature Detection
* 2005: Joint Modeling of Facial Expression and Shape from Video
* 2005: Shape analysis of concrete aggregates for statistical quality modeling
* 2006: Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
* 2007: On steerability of Gabor-type filters for feature detection
* 2009: Incremental Bayesian learning of feature points from natural images
* 2009: Incremental Object Matching with Bayesian Methods and Particle Filters
* 2011: Incremental object matching and detection with Bayesian methods and particle filters
* 2016: Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
Includes: Lampinen, J. Lampinen, J.[Jouko]
19 for Lampinen, J.

Lamping, J.[James] * 2020: Factors Influencing Movement of the Manila Dunes and Its Impact on Establishing Non-Native Species

Lamping, J.E.[James E.] * 2021: Comparison of Low-Cost Commercial Unpiloted Digital Aerial Photogrammetry to Airborne Laser Scanning across Multiple Forest Types in California, USA

Lampo, T.[Tomas] * 2009: Two Algorithms for Measuring Human Breathing Rate Automatically

Lampoltshammer, T.J.[Thomas J.] * 2014: Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data
* 2015: Improving the Computational Performance of Ontology-Based Classification Using Graph Databases
* 2017: Mapping Parallels between Outdoor Urban Environments and Indoor Manufacturing Environments

Lamprecht, A.[Andrea] * 2016: Mapping Alpine Vegetation Location Properties By Dense Matching
* 2022: Online Model Predictive Motion Cueing With Real-Time Driver Prediction
Includes: Lamprecht, A.[Andrea] Lamprecht, A.[Alexander]

Lamprecht, S.[Sebastian] * 2013: VecTree: Concepts for 3D modelling of deciduous trees from terrestrial Lidar
* 2015: aTrunk: An ALS-Based Trunk Detection Algorithm
* 2017: Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data, A
* 2017: Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data, A
* 2020: ALS as Tool to Study Preferred Stem Inclination Directions

Lampridou, D.[Danai] * 2018: Creating a Story Map Using Geographic Information Systems to Explore Geomorphology and History of Methana Peninsula

Lamprinou, N.[Nefeli] * 2017: new Least Squares based congealing technique, A
* 2020: Improved GAN Semantic Image Inpainting, An

Lampropoulos, G.A. * 1985: New Technique for the Design of Two-Dimensional FIR and IIR Filters, A
* 1995: Filtering of Moving Targets Using SBIR Sequential Frames
* 1996: Filtering of Moving Targets Using SBIR Sequential Frames
* 2012: Introduction to Special Section on Space Technology
* 2012: Markov Chain CFAR Detection for Polarimetric Data Using Data Fusion

Lampropoulos, K. * 2017: 3d Modelling the Invisible Using Ground Penetrating Radar
* 2017: Merging Geometric Documentation with Materials Characterization And Analysis of the History of the Holy Aedicule in the Church of the Holy Sepulchre in Jerusalem

Lampropoulos, V.[Vassilis] * 2016: DICE: Digital Immersive Cultural Environment

Lampton, M.[Michael] * 2013: FUEGO: Fire Urgency Estimator in Geosynchronous Orbit: A Proposed Early-Warning Fire Detection System

Index for "l"