Index for iord

Iordache, L. * 2018: Scene Understanding Networks for Autonomous Driving Based on Around View Monitoring System
* 2019: Low-Complexity Scene Understanding Network
Includes: Iordache, L. Iordache, L.[Livia]

Iordache, M.D. * 2011: Sparse Unmixing of Hyperspectral Data
* 2012: Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing
* 2014: Collaborative Sparse Regression for Hyperspectral Unmixing
* 2014: MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression
* 2017: Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover, A
* 2017: Proba-V cloud detection Round Robin: Validation results and recommendations
* 2018: Evaluation of PROBA-V Collection 1: Refined Radiometry, Geometry, and Cloud Screening
* 2019: Hyplant-Derived Sun-Induced Fluorescence: A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types
* 2020: Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery, A
* 2022: Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images
Includes: Iordache, M.D. Iordache, M.D.[Marian-Daniel]
10 for Iordache, M.D.

Iordache, R. * 1998: Fixed-slope near-lossless context-based image compression
* 2000: Block Truncation Coding Using Edginess Information
* 2000: Vector Quantization with Edge Reconstruction
* 2001: Pyramidal Perceptual Filtering Using Moon and Spencer Contrast

Iordachita, I.[Iulian] * 2022: State of the Art and Future Opportunities in MRI-Guided Robot-Assisted Surgery and Interventions

Iordachita, I.I.[Iulian I.] * 2022: Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives

Iordan, D. * 2020: Overview on the Development and Evolution of Earth Observation Research And Applications Programmes for Agriculture and Environment During The Last Three Decades In Romania

Iordanescu, G.[Gheorghe] * 2007: Computer-aided classification of anomalies in anatomical structures
* 2007: One-class Machine Learning for Brain Activation Detection
Includes: Iordanescu, G.[Gheorghe] Iordanescu, G.[George]

Iordanidou, G.R. * 2015: Feedback-Based Mainstream Traffic Flow Control for Multiple Bottlenecks on Motorways
* 2017: Feedback-Based Integrated Motorway Traffic Flow Control With Delay Balancing

Iordanishvili, E. * 2019: Multi-Exponential Relaxometry Using L_1-Regularized Iterative NNLS (MERLIN) With Application to Myelin Water Fraction Imaging

Iordanova, B. * 2006: Deformation-Based Mapping of Volume Change From Serial Brain MRI in the Presence of Local Tissue Contrast Change

Index for "i"


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