Index for lipp

Lipp, J.I. * 1992: Nonuniform Image Motion Estimation Using the Maximum a Posteriori Principle
* 1993: Nonuniform Image Motion Estimation in Reduced Coefficient Transformed-Domains

Lipp, N.[Nils] * 2023: Context-empowered Visual Attention Prediction in Pedestrian Scenarios

Lippe, M.[Melvin] * 2019: Using agent-based modelling to simulate social-ecological systems across scales

Lippel, B. * 1971: Ordered Dither Patterns for Coarse Quantization of Pictures

Lippel, J.[Jens] * 2010: Feature Extraction for Simple Classification
* 2021: Dimensionality Reduction for Data Visualization and Linear Classification, and the Trade-off between Robustness and Classification Accuracy

Lippens, S. * 2006: Size Reduction of Look-Up Table Based Print Models
* 2014: Noise Analysis and Removal in 3D Electron Microscopy
* 2021: openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities, The
Includes: Lippens, S. Lippens, S.[Saskia] Lippens, S.[Stefaan]

Lippert, C.[Christoph] * 2018: Ensembles of Lasso Screening Rules
* 2022: ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
* 2024: Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC

Lippert, J. * 2000: Disparity Tuning as Simulated by a Neural Net

Lippert, L. * 1994: Multiscale image texture analysis in wavelet spaces

Lippert, T.M.[Thomas M.] * 1988: Single sensor three dimensional imaging

Lippi, M.[Marco] * 2012: Information Theoretic Learning for Pixel-Based Visual Agents
* 2013: Information-Based Learning of Deep Architectures for Feature Extraction
* 2013: Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
* 2014: On-Line Video Motion Estimation by Invariant Receptive Inputs
* 2015: En Plein Air Visual Agents
* 2016: Semantic video labeling by developmental visual agents
* 2020: Machine Learning for Severity Classification of Accidents Involving Powered Two Wheelers
* 2021: Data Driven Approach to Match Demand and Supply for Public Transport Planning, A
* 2023: General Pipeline for Online Gesture Recognition in Human-Robot Interaction, A
Includes: Lippi, M.[Marco] Lippi, M.
9 for Lippi, M.

Lippiello, V.[Vincenzo] * 2013: Real-Time Estimation of Planar Surfaces in Arbitrary Environments Using Microsoft Kinect Sensor

Lipping, T.[Tarmo] * 2015: Data-Driven Approach to Benthic Cover Type Classification Using Bathymetric LiDAR Waveform Analysis
* 2016: Spectral Characteristics of Common Reed Beds: Studies on Spatial and Temporal Variability
* 2020: Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models

Lippitt, C.D.[Christopher D.] * 2008: Mapping Selective Logging in Mixed Deciduous Forest: A Comparison of Machine Learning Algorithms
* 2016: Characterizing Pavement Surface Distress Conditions with Hyper-Spatial Resolution Natural Color Aerial Photography
* 2016: Remote Sensing Based Simple Models of GPP in Both Disturbed and Undisturbed Piñon-Juniper Woodlands in the Southwestern U.S.
* 2016: Woody Biomass Estimation in a Southwestern U.S. Juniper Savanna Using LiDAR-Derived Clumped Tree Segmentation and Existing Allometries
* 2021: Assessing Drought Vegetation Dynamics in Semiarid Grass- and Shrubland Using MESMA
* 2022: Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review

Lippitt, C.L.[Caitlin L.] * 2021: Assessing Drought Vegetation Dynamics in Semiarid Grass- and Shrubland Using MESMA

Lippl, F.[Florian] * 2023: Assessing the Vertical Structure of Forests Using Airborne and Spaceborne LiDAR Data in the Austrian Alps

Lippl, S. * 2020: Evaluating the Quality of Photogrammetric Point-clouds In Challenging Geo-environments - A Case Study In An Alpine Valley

Lipple, B.[Brock] * 2018: Using an Instrumented Drone to Probe Dust Devils on Oregon's Alvord Desert

Lippman, A. * 1994: Re-codable video
* 1995: Spatio-temporal segmentation based on motion and static segmentation
* 1995: Spatiotemporal model-based optic flow estimation
* 1996: Frame-free video
* 1996: Video on demand
* 1996: Video semantics
* 1996: VideoBook: an experiment in characterization of video
* 1997: Bayesian Video Modeling Framework for Shot Segmentation and Content Characterization, A
* 1997: Content-Based Pre-Indexed Video
* 1997: Empirical Bayesian EM Based Motion Segmentation
* 1997: Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content
* 1998: Bayesian Framework for Semantic Content Characterization, A
* 1998: Bayesian modeling of video editing and structure: Semantic features for video summarization and browsing
* 1998: Spatiotemporal Motion Model for Video Summarization, A
* 1999: Probabilistic Retrieval: New Insights and Experimental Results
* 2000: Bayesian relevance feedback for content-based image retrieval
* 2000: Learning Over Multiple Temporal Scales in Image Databases
* 2000: Probabilistic Architecture for Content-based Image Retrieval, A
* 2000: Statistical Models of Video Structure for Content Analysis and Characterization
* 2000: Unifying View of Image Similarity, A
* 2001: Empirical Bayesian Motion Segmentation
* 2005: Unequal Loss Protection for H.263 Compressed Video
Includes: Lippman, A. Lippman, A.[Andrew]
22 for Lippman, A.

Lippman, A.B.[Andrew B.] * 1991: Multiscale coding of images
* 1995: Coding for content: enhanced resolution from coding
Includes: Lippman, A.B.[Andrew B.] Lippman, A.B.

Lippman, A.F. * 2001: Video coding for streaming media delivery on the internet

Lippmann, A.[Andrew] * 1995: MPEG-2 requirements, profiles and performance verification: Framework for developing a generic video coding standard

Lippmann, B.[Bernhard] * 2021: Recovery of 2D and 3D Layout Information through an Advanced Image Stitching Algorithm using Scanning Electron Microscope Images

Lippmann, K.R.[K. Reiner] * 1988: Method for the stereoscopic representation of image scenes with relative movement between imaging sensor and recorded scene

Lippmann, R.P.[Richard P.] * 1989: Pattern Classification Using Neural Networks
* 1991: Advances in Neural Information Processing Systems 3
Includes: Lippmann, R.P.[Richard P.] Lippmann, R.P.

Lippok, A.[Artur] * 2008: Markov Random Fields (MRF) - Based Texture Segmentation for Road Detection

Lippok, N. * 2018: Repeatability Assessment of Intravascular Polarimetry in Patients

Lippolis, A.[Andrea] * 2023: Fermouth: Facial Emotion Recognition from the Mouth Region

Lippolis, G.[Giuseppe] * 2014: Tractable and Reliable Registration of 2D Point Sets

Lipponen, A.[Antti] * 2021: Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations, A

Index for "l"