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Found 7 papers, 2 papers with code
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach
Hence, we propose a supervised classification method aimed at constructing a classifier based on self-paced learning (SPL).
Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Sub-pixel Target Detection
The Multiple Instance Hybrid Estimator for discriminative target characterization from imprecisely labeled hyperspectral data is presented.
Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms
A multiple instance dictionary learning approach, Dictionary Learning using Functions of Multiple Instances (DL-FUMI), is used to perform beat-to-beat heart rate estimation and to characterize heartbeat signatures from ballistocardiogram (BCG) signals collected with a hydraulic bed sensor.
Multiple Instance Hybrid Estimator for Learning Target Signatures
Both simulated and real hyperspectral target detection experiments are shown to illustrate the effectiveness of the method.
Multiple Instance Hyperspectral Target Characterization
In this paper, two methods for multiple instance target characterization, MI-SMF and MI-ACE, are presented.
Heart Beat Characterization from Ballistocardiogram Signals using Extended Functions of Multiple Instances
The goal of this approach is to learn a personalized heartbeat "concept" for an individual.
Multiple Instance Dictionary Learning using Functions of Multiple Instances
A multiple instance dictionary learning method using functions of multiple instances (DL-FUMI) is proposed to address target detection and two-class classification problems with inaccurate training labels.
