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Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator

Published: Apr 17th, 2019

Abstract: Sensors which use electromagnetic induction (EMI) to excite a response in conducting bodies have long been investigated for subsurface explosive hazard detection. In particular, EMI sensors have been used […]

Comparison of Hand-held WEMI Target Detection Algorithms

Published: Mar 25th, 2019

Abstract: Wide-band Electromagnetic Induction Sensors (WEMI) have been used for a number of years in subsurface detection of explosive hazards. While WEMI sensors have proven effective at localiz- ing objects […]

Root Identification in Minirhizotron Imagery with Multiple Instance Learning

Published: Mar 12th, 2019

Abstract: In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmen- tation in minirhizotron imagery using only image-level labels are proposed. Root and soil characteristics […]

Hyperspectral Tree Crown Classification Using the Multiple Instance Adaptive Cosine Estimator

Published: Jul 26th, 2018

Abstract: Tree species classification using hyperspectral imagery is a challenging task due to the high spectral similarity between species and large intra-species variability. This paper proposes a solution using the […]

Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty

Published: May 3rd, 2018

Abstract: In remote sensing, each sensor can provide complementary or reinforcing information. It is valuable to fuse outputs from multiple sensors to boost overall performance. Previous supervised fusion methods often […]

Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing Applications

Published: Mar 13th, 2018

Abstract: In classifier (or regression) fusion the aim is to combine the outputs of several algorithms to boost overall performance. Standard supervised fusion algorithms often require accurate and precise training […]

Target Concept Learning From Ambiguously Labeled Data

Published: Dec 18th, 2017

Abstract: The multiple instance learning problem addresses the case where training data comes with label ambiguity, i.e., the learner has access only to inaccurately labeled data. For example, in target […]

Multiple Instance Choquet Integral For MultiResolution Sensor Fusion

Published: Dec 18th, 2017

Abstract: Imagine you are traveling to Columbia,MO for the first time. On your flight to Columbia, the woman sitting next to you recommended a bakery by a large park with […]

Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Sub-pixel Target Detection

Published: Oct 31st, 2017

Abstract: The Multiple Instance Hybrid Estimator for discriminative target characterization from imprecisely labeled hyperspectral data is presented. In many hyperspectral target detection problems, acquiring accurately labeled training data is difficult. […]

Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms

Published: Jun 15th, 2017

Abstract: A multiple instance dictionary learning approach, Dictionary Learning using Functions of Multiple Instances (DLFUMI), is used to perform beat-to-beat heart rate estimation and to characterize heartbeat signatures from ballistocardiogram […]