Convergence Analysis on Trace Ratio Linear Discriminant Analysis Algorithms.

Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation.

Interpretable deep one-class model for forest fire detection.

SVMFN-FSAR: Semantic-Guided Video Multimodal Fusion Network for Few-Shot Action Recognition.

Parameter Disentanglement for Diverse Representations.

Robust local K-proximal plane clustering based on L2,1-norm minimization.

Tree Canopy Volume Extraction Fusing ALS and TLS Based on Improved PointNeXt.

Video Moment Retrieval With Noisy Labels.

Global superpixel-merging via set maximum coverage.

MDC-FusFormer: Multiscale Deep Cross-Fusion Transformer Network for Hyperspectral and Multispectral Image Fusion.

Multiscale 3-D-2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification.

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing.

Object Detection by Channel and Spatial Exchange for Multimodal Remote Sensing Imagery.

Opportunities and challenges in the application of large artificial intelligence models in radiology.

VrsNet - density map prediction network for individual tree detection and counting from UAV images.

Preferred vector machine for forest fire detection.

Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods.

Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data.

Individual tree segmentation and tree-counting using supervised clustering.

CRNet: Channel-Enhanced Remodeling-Based Network for Salient Object Detection in Optical Remote Sensing Images.

Training-Free Instance Segmentation from Semantic Image Segmentation Masks.

Learning Robust Discriminant Subspace Based on Joint L₂, ₚ- and L₂, ₛ-Norm Distance Metrics.

BASNet: Burned Area Segmentation Network for Real-Time Detection of Damage Maps in Remote Sensing Images.

Multiview Learning With Robust Double-Sided Twin SVM.

MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification.

Estimating Fractional Vegetation Cover Changes in Desert Regions Using RGB Data.

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning.

Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types.

Unabridged adjacent modulation for clothing parsing.

Robust distance metric optimization driven GEPSVM classifier for pattern classification.

Multi-view distance metric learning via independent and shared feature subspace with applications to face and forest fire recognition, and remote sensing classification.

Learning a robust classifier for short-term traffic state prediction.

Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning.

Flexible capped principal component analysis with applications in image recognition.

Robust ensemble method for short-term traffic flow prediction.

Learning to Reduce Information Bottleneck for Object Detection in Aerial Images.

Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition.

A Hybrid Approach of Combining Random Forest with Texture Analysis and VDVI for Desert Vegetation Mapping Based on UAV RGB Data.

Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment.

Pixel-level automatic annotation for forest fire image.

Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR.

Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data.

Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry.

Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data.

Improved multi-view GEPSVM via Inter-View Difference Maximization and Intra-view Agreement Minimization.

Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization.

Multi-view generalized support vector machine via mining the inherent relationship between views with applications to face and fire smoke recognition.

Nonpeaked Discriminant Analysis for Data Representation.

Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach.

Flexible non-greedy discriminant subspace feature extraction.

Robust capped L1-norm twin support vector machine.

Robust auto-weighted projective low-rank and sparse recovery for visual representation.

Robust L_{2, 1}-Norm Distance Enhanced Multi-Weight Vector Projection Support Vector Machine.

Piecewise Linear Regression Based on Plane Clustering.

Underlying Connections Between Algorithms for Nongreedy LDA-L1.

Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data.

Least squares twin bounded support vector machines based on L1-norm distance metric for classification.

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis.

How trees allocate carbon for optimal growth: insight from a game-theoretic model.

Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm.