Wassantachat, T.[Thanes]
* 2008: On Traffic Density Estimation with a Boosted SVM Classifier
* 2009: Traffic Density Estimation with On-line SVM Classifier
Wassel, M.[Moustafa]
* 2022: Vision Transformers Based Classification for Glaucomatous Eye Condition
Wassell, I.[Ian]
* 2014: Generalized-KFCS: Motion estimation enhanced Kalman filtered compressive sensing for video
* 2015: New Face Recognition Algorithm based on Dictionary Learning for a Single Training Sample per Person, A
* 2016: Support Discrimination Dictionary Learning for Image Classification
* 2017: Deep network for image super-resolution with a dictionary learning layer
* 2018: Multi-task Adversarial Network for Disentangled Feature Learning
* 2018: Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
* 2018: Synthetically Supervised Feature Learning for Scene Text Recognition
Includes: Wassell, I.[Ian] Wassell, I.
7 for Wassell, I.
Wassell, I.J.
* 2012: On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications
* 2015: Dictionary Design for Distributed Compressive Sensing
* 2017: Compressive Sensing Reconstruction for Video: An Adaptive Approach Based on Motion Estimation
Wassenaar, T.
* 2010: Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes Using Very High Resolution Imagery
* 2010: Operational Performance of an Automatic Preliminary Spectral Rule-Based Decision-Tree Classifier of Spaceborne Very High Resolution Optical Images
Wassenberg, J.[Jan]
* 2009: Efficient Parallel Algorithm for Graph-Based Image Segmentation, An
* 2010: Fast, High-Quality Line Antialiasing by Prefiltering with an Optimal Cubic Polynomial
Includes: Wassenberg, J.[Jan] Wassenberg, J.
Wasserman, A.
* 1996: Machine Vision System for the Automated Classification and Counting of Neurons in 3-D Brain Tissue Samples, A
Wasserman, H.[Howard]
* 2002: Theoretical Foundation and a Method for Document Table Structure Extraction and Decomposition, A
Wasserman, R.
* 1995: data fusion approach to tumor delineation, A
Wassermann, C.[Clemens]
* 2019: Influence of Scanner Position and Plot Size on the Accuracy of Tree Detection and Diameter Estimation Using Terrestrial Laser Scanning on Forest Inventory Plots
Wassermann, D.[Demian]
* 2007: Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging
* 2014: Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields
* 2014: Probabilistic Diffeomorphic Registration: Representing Uncertainty
Wasserzier, C.[Christoph]
* 2021: Counter-Interception and Counter-Exploitation Features of Noise Radar Technology
Wassi, G.
* 2015: FPGA-based real-time MFCC extraction for automatic audio indexing on FM broadcast data
Wassie, Y.
* 2020: Deformation Monitoring Using SAR Interferometry and Active and Passive Reflectors
* 2021: Active Reflectors for Interferometric SAR Deformation Measurement
* 2022: Spatio-Temporal Quality Indicators for Differential Interferometric Synthetic Aperture Radar Data
* 2022: Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data
Includes: Wassie, Y. Wassie, Y.[Yismaw]
Wassmer, B.
* 2014: Fundus Image Mosaicking for Information Augmentation in Computer-Assisted Slit-Lamp Imaging
Wassner, H.[Hubert]
* 2001: Guiding method and device for in-flight-refuelling line
Wasson, G.S.
* 1998: Effective Field of View Paradigm: Adding Representation to a Reactive System, The
Wasson, L.L.[Louis L.]
* 2021: Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing
Wasson, W.D.
* 1991: On Surface Orientation Detection in 3-D