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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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Binary classification
Boosting (machine learning)
Multi-label classification
Multiple-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
M. V. Kots
,
V. Chukanov
Journal of Physics: Conference Series
2019
Corpus ID: 199299386
Multiple instance learning (MIL) is a weakly supervised learning method where a single label is assigned to a group of instances…
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2018
2018
FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning
Shuai Yang
,
Xipeng Shen
International Conference on Information and…
2018
Corpus ID: 52841523
Citation KNN is an important but compute-intensive algorithm for multiple instance learning (MIL). This paper presents FALCON, a…
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2017
2017
Binary fuzzy measures and Choquet integration for multi-source fusion
Derek T. Anderson
,
Muhammad Aminul Islam
,
+6 authors
Alina Zare
International Conference on Model Transformation
2017
Corpus ID: 26033292
Countless challenges in engineering require the intelligent combining (aka fusion) of data or information from multiple sources…
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2016
2016
Models for objective evaluation of dysarthric speech from data annotated by multiple listeners
Ming Tu
,
Yishan Jiao
,
Visar Berisha
,
J. Liss
Asilomar Conference on Signals, Systems and…
2016
Corpus ID: 9460855
In subjective evaluation of dysarthric speech, the inter-rater agreement between clinicians can be low. Disagreement among…
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2015
2015
Online Visual Tracking using Multiple Instance Learning with Instance Significance Estimation
Tianfei Zhou
,
Yao Lu
arXiv.org
2015
Corpus ID: 2408357
Multiple Instance Learning (MIL) recently provides an appealing way to alleviate the drifting problem in visual tracking…
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2011
2011
A co-training framework for visual tracking with multiple instance learning
Huchuan Lu
,
Qiuhong Zhou
,
Dong Wang
,
Xiang Ruan
Face and Gesture
2011
Corpus ID: 11823104
This paper proposes a Co-training Multiple Instance Learning algorithm (CoMIL). Our framework is based on the co-training…
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2011
2011
Multiple Instance Filtering
K. Wnuk
,
Stefano Soatto
Neural Information Processing Systems
2011
Corpus ID: 8436885
We propose a robust filtering approach based on semi-supervised and multiple instance learning (MIL). We assume that the…
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2010
2010
Feature selection is the ReliefF for multiple instance learning
A. Zafra
,
Mykola Pechenizkiy
,
Sebastián Ventura
International Conference on Intelligent Systems…
2010
Corpus ID: 14354975
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more…
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2009
2009
Multiple Instance Learning with Query Bags
B. Babenko
2009
Corpus ID: 15018350
In many machine learning applications, precisely labeled data is either burdensome or impossible to collect. Multiple Instance…
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2007
2007
Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning ?
Dan Zhang
,
Zhenwei Shi
,
Yangqiu Song
,
Changshui Zhang
2007
Corpus ID: 8625860
In this paper, we propose a Semi-Supervised Multiple-Instance Learning (SSMIL) algorithm, and apply it to Localized Content-Based…
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