Lerner, A.[Alon]
* 2009: Data Driven Evaluation of Crowds
* 2015: ICPIK: Inverse Kinematics based articulated-ICP
Lerner, B.
* 1994: Feature selection and learning curves of a multilayer perceptron chromosome classifier
* 1995: Medial Axis Transform-Based Features and a Neural-Network for Human-Chromosome Classification
* 1996: Feature Extraction by Neural Network Nonlinear Mapping for Pattern Classification
* 1998: On Pattern Classification with Sammons Nonlinear Mapping: An Experimental-Study
* 1999: Comparative Study of Neural Network Based Feature Extraction Paradigms
* 2000: Automatic Analysis of Fluorescence In-Situ Hybridisation Images
* 2001: Feature Representation and Signal Classification in Fluorescence in-Situ Hybridization Image Analysis
* 2004: Classification of fluorescence in situ hybridization images using belief networks
* 2004: Rapid spline-based kernel density estimation for bayesian networks
* 2004: Signal discrimination using a support vector machine for genetic syndrome diagnosis
* 2005: Bayesian network classification using spline-approximated kernel density estimation
* 2005: Support vector machine-based image classification for genetic syndrome diagnosis
* 2006: Bayesian Class-Matched Multinet Classifier
* 2006: Bayesian Network Structure Learning by Recursive Autonomy Identification
* 2006: Image Classification for Genetic Diagnosis using Fuzzy ARTMAP
* 2006: Learning Bayesian Networks for Cytogenetic Image Classification
* 2016: Exposing and modeling underlying mechanisms in ALS with machine learning
* 2020: Inference Graphs for CNN Interpretation
* 2023: SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation
Includes: Lerner, B. Lerner, B.[Boaz]
19 for Lerner, B.
Lerner, B.T.[Bao T.]
* 1994: Image Segmentation by Integration of Edge and Region Data: The Influence of Edge Detection Algorithms
Lerner, C.[Camara]
* 2014: Rate-distortion approach to bit allocation in lossy image set compression
Lerner, D.E.
* 2003: Using temporal averaging to decouple annual and nonannual information in AVHRR NDVI time series
Lerner, E.J.
* 1980: Computers That See
Lerner, M.
* 1990: Energy-Based Segmentation of Very Sparse Range Surfaces
* 1990: Energy-Based Segmentation of Very Sparse Range Surfaces
Lerner, R.[Ronen]
* 2004: Error analysis for a navigation algorithm based on optical-flow and a digital terrain map
* 2004: Pose estimation using feature correspondences and DTM
* 2006: Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
* 2011: Direct Method for Video-Based Navigation Using a Digital Terrain Map
* 2014: Recent progress in road and lane detection: a survey
Lerner, R.A.[Richard A.]
* 1994: Stellar Application of the IUE: Solar Feature Extraction, A
* 1996: Solving Diverse Image Understanding Problems Using the Image Understanding Environment
* 1997: Image Understanding Environment Progress Since IUW'96, The
* 1997: Programming in the Image Understanding Environment: Locating Fibers in Microscope Images
* 1998: Image Understanding Environment Progress Since IUW'97, The
* 1998: Image Understanding Environment Service Model: An Elegant Approach to Providing Class Services, The
Includes: Lerner, R.A.[Richard A.] Lerner, R.A.
Lerner, T.[Tali]
* 2006: Vision-Based Tracking System for Head Motion Correction in FMRI Images