activity
20152022
most citedMultiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing Applications

39 citations · 191 across the 29 of their papers we have counts for

collaborators
Showing 2016Show all

7 papers · 1 filter

cs.CV2016★ 1 cited

Partial Membership Latent Dirichlet Allocation

Chao Chen, Alina Zare, Huy Trinh +3

Topic models (e.g., pLSA, LDA, sLDA) have been widely used for segmenting imagery. However, these models are confined to crisp segmentation, forcing a visual word (i.e., an image p…

cs.CV2016★ 1 cited

Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation

Sheng Zou, Alina Zare

The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a h…

cs.CV2016★ 6 cited

Multiple Instance Hyperspectral Target Characterization

Alina Zare, Changzhe Jiao, Taylor Glenn

In this paper, two methods for multiple instance target characterization, MI-SMF and MI-ACE, are presented. MI-SMF and MI-ACE estimate a discriminative target signature from imprec…

cs.CV2016★ 25 cited

Heart Beat Characterization from Ballistocardiogram Signals using Extended Functions of Multiple Instances

Changzhe Jiao, Princess Lyons, Alina Zare +2

A multiple instance learning (MIL) method, extended Function of Multiple Instances (FUMI), is applied to ballistocardiogram (BCG) signals produced by a hydraulic bed sensor. The…

cs.CV2016★ 3 cited

Instance Influence Estimation for Hyperspectral Target Signature Characterization using Extended Functions of Multiple Instances

Sheng Zou, Alina Zare

The Extended Functions of Multiple Instances (eFUMI) algorithm is a generalization of Multiple Instance Learning (MIL). In eFUMI, only bag level (i.e. set level) labels are needed…

cs.CV2016

Buried object detection using handheld WEMI with task-driven extended functions of multiple instances

Matthew Cook, Alina Zare, Dominic Ho

Many effective supervised discriminative dictionary learning methods have been developed in the literature. However, when training these algorithms, precise ground-truth of the tra…

cs.CV2016★ 25 cited

Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI)

Brendan Alvey, Alina Zare, Matthew Cook +1

The adaptive coherence estimator (ACE) estimates the squared cosine of the angle between a known target vector and a sample vector in a whitened coordinate space. The space is whit…