Multiple instance learning

Depending on the type and variation in training data, machine learning can be roughly categorized into three frameworks: supervised learning…

Papers overview

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2019

Multiple instance learning (MIL) is a weakly supervised learning method where a single label is assigned to a group of instances…

2018

Citation KNN is an important but compute-intensive algorithm for multiple instance learning (MIL). This paper presents FALCON, a…

2017

Countless challenges in engineering require the intelligent combining (aka fusion) of data or information from multiple sources…

2016

In subjective evaluation of dysarthric speech, the inter-rater agreement between clinicians can be low. Disagreement among…

2015

Multiple Instance Learning (MIL) recently provides an appealing way to alleviate the drifting problem in visual tracking…

2011

This paper proposes a Co-training Multiple Instance Learning algorithm (CoMIL). Our framework is based on the co-training…

2011

We propose a robust filtering approach based on semi-supervised and multiple instance learning (MIL). We assume that the…

2010

Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more…

2009

In many machine learning applications, precisely labeled data is either burdensome or impossible to collect. Multiple Instance…

2007

In this paper, we propose a Semi-Supervised Multiple-Instance Learning (SSMIL) algorithm, and apply it to Localized Content-Based…