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Multiple instance learning

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

Related topics

6 relations
Binary classificationBoosting (machine learning)Multi-label classificationMultiple-instance learning

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Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
U-Net adaptation for multiple instance learning
Multiple instance learning (MIL) is a weakly supervised learning method where a single label is assigned to a group of instances… 
2018
2018
Visual Tracking Using Improved Multiple Instance Learning with Co-training Framework for Moving Robot
Object detection and tracking is the basic capability of mobile robots to achieve natural human–robot interaction. In this paper… 
2017
2017
Binary fuzzy measures and Choquet integration for multi-source fusion
Countless challenges in engineering require the intelligent combining (aka fusion) of data or information from multiple sources… 
2016
2016
Models for objective evaluation of dysarthric speech from data annotated by multiple listeners
In subjective evaluation of dysarthric speech, the inter-rater agreement between clinicians can be low. Disagreement among… 
2012
2012
Class-Dependent Dissimilarity Measures for Multiple Instance Learning
Multiple Instance Learning (MIL) is concerned with learning from sets (bags) of feature vectors (instances), where the individual… 
2011
2011
A co-training framework for visual tracking with multiple instance learning
This paper proposes a Co-training Multiple Instance Learning algorithm (CoMIL). Our framework is based on the co-training… 
2010
2010
Feature selection is the ReliefF for multiple instance learning
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more… 
2009
2009
Multiple Instance Learning with Query Bags
In many machine learning applications, precisely labeled data is either burdensome or impossible to collect. Multiple Instance… 
2009
2009
Web image gathering with region-based bag-of-features and multiple instance learning
We propose a new Web image gathering system which employs the region-based bag-of-features representation and multiple instance… 
2007
2007
Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning ?
In this paper, we propose a Semi-Supervised Multiple-Instance Learning (SSMIL) algorithm, and apply it to Localized Content-Based… 
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