14.5.5 Multiple Instance Learning

Chapter Contents (Back)
Learning. Multiple Instance Learning. Multiple-instance learning.

Chen, Y.X.[Yi-Xin], Bi, J.B.[Jin-Bo], Wang, J.Z.[James Z.],
MILES: Multiple-Instance Learning via Embedded Instance Selection,
PAMI(28), No. 12, December 2006, pp. 1931-1947.
IEEE DOI 0611
BibRef
Earlier: A2, A1, A3:
A Sparse Support Vector Machine Approach to Region-Based Image Categorization,
CVPR05(I: 1121-1128).
IEEE DOI 0507
Training labels on sets of instances not single instances. BibRef

McGovern, A.[Amy], Jensen, D.[David],
Optimistic pruning for multiple instance learning,
PRL(29), No. 9, 1 July 2008, pp. 1252-1260.
WWW Link. 0711
Multiple instance learning; Optimistic pruning; Chi-squared BibRef

Tao, Q.P.[Qing-Ping], Scott, S.D.[Stephen D.], Vinodchandran, N.V., Osugi, T.T.[Thomas Takeo], Mueller, B.[Brandon],
Kernels for Generalized Multiple-Instance Learning,
PAMI(30), No. 12, December 2008, pp. 2084-2098.
IEEE DOI 0811
BibRef

Fu, Z.Y.[Zhou-Yu], Robles-Kelly, A.[Antonio], Zhou, J.[Jun],
MILIS: Multiple Instance Learning with Instance Selection,
PAMI(33), No. 1, January 2011, pp. 958-977.
IEEE DOI 1104
Deals with collections of instances called bags. Each bag has instances for feature extraction. Large instance space. BibRef

Fu, Z.Y.[Zhou-Yu], Robles-Kelly, A.[Antonio],
An instance selection approach to Multiple instance Learning,
CVPR09(911-918).
IEEE DOI 0906
BibRef
Earlier:
Fast multiple instance learning via L1,2 logistic regression,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
On Mixtures of Linear SVMs for Nonlinear Classification,
SSPR08(489-499).
Springer DOI 0812
BibRef

Bergeron, C.[Charles], Moore, G.[Gregory], Zaretzki, J.[Jed], Breneman, C.M.[Curt M.], Bennett, K.P.[Kristin P.],
Fast Bundle Algorithm for Multiple-Instance Learning,
PAMI(34), No. 6, June 2012, pp. 1068-1079.
IEEE DOI 1205
BibRef

Zhang, B.[Bang], Wang, Y.[Yang], Chen, F.[Fang],
Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning,
IP(23), No. 3, March 2014, pp. 1430-1441.
IEEE DOI 1403
correlation methods BibRef

Zhang, B.[Bang], Wang, Y.[Yang], Wang, W.[Wei],
Batch mode active learning for multi-label image classification with informative label correlation mining,
WACV12(401-407).
IEEE DOI 1203
BibRef
And:
Multiple-Instance learning from multiple perspectives: Combining models for Multiple-Instance learning,
WACV12(481-487).
IEEE DOI 1203
BibRef

Herman, G.[Gunawan], Ye, G.T.[Ge-Tian], Wang, Y.[Yang], Xu, J.[Jie], Zhang, B.[Bang],
Multi-instance learning with relational information of instances,
WACV09(1-7).
IEEE DOI 0912
BibRef

Hong, R.C.[Ri-Chang], Wang, M.[Meng], Gao, Y.[Yue], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long], Wu, X.D.[Xin-Dong],
Image Annotation by Multiple-Instance Learning With Discriminative Feature Mapping and Selection,
Cyber(44), No. 5, May 2014, pp. 669-680.
IEEE DOI 1405
correlation methods BibRef

Chai, J.[Jing], Ding, X.H.[Xing-Hao], Chen, H.T.[Hong-Tao], Li, T.Y.[Ting-Yu],
Multiple-instance discriminant analysis,
PR(47), No. 7, 2014, pp. 2517-2531.
Elsevier DOI 1404
Multiple-instance learning BibRef

Li, Z.[Zhan], Geng, G.H.[Guo-Hua], Feng, J.[Jun], Peng, J.Y.[Jin-Ye], Wen, C.[Chao], Liang, J.L.[Jun-Li],
Multiple instance learning based on positive instance selection and bag structure construction,
PRL(40), No. 1, 2014, pp. 19-26.
Elsevier DOI 1403
Multiple instance learning (MIL) BibRef

Cheplygina, V.[Veronika], Tax, D.M.J.[David M.J.], Loog, M.[Marco],
Multiple instance learning with bag dissimilarities,
PR(48), No. 1, 2015, pp. 264-275.
Elsevier DOI 1410
Multiple instance learning BibRef

Cheplygina, V.[Veronika], Tax, D.M.J.[David M.J.], Loog, M.[Marco],
On classification with bags, groups and sets,
PRL(59), No. 1, 2015, pp. 11-17.
Elsevier DOI 1505
Multiple instance learning BibRef

Alpaydin, E.[Ethem], Cheplygina, V.[Veronika], Loog, M.[Marco], Tax, D.M.J.[David M.J.],
Single- vs. multiple-instance classification,
PR(48), No. 9, 2015, pp. 2831-2838.
Elsevier DOI 1506
Classification BibRef

Carbonneau, M.A.[Marc-André], Granger, E.[Eric], Raymond, A.J.[Alexandre J.], Gagnon, G.[Ghyslain],
Robust multiple-instance learning ensembles using random subspace instance selection,
PR(58), No. 1, 2016, pp. 83-99.
Elsevier DOI 1606
BibRef
And: A1, A2, A4, Only:
Witness identification in multiple instance learning using random subspaces,
ICPR16(3639-3644)
IEEE DOI 1705
Classification algorithms, Clustering algorithms, Knowledge discovery, Prototypes, Robustness, Standards, Support vector machines, Knowledge Discovery, Multiple Instance Learning, Random Subspace Methods, Witness, Identification BibRef

Carbonneau, M.A.[Marc-André], Granger, E.[Eric], Gagnon, G.[Ghyslain],
Score thresholding for accurate instance classification in multiple instance learning,
IPTA16(1-6)
IEEE DOI 1703
learning (artificial intelligence) BibRef

Ding, X., Li, B., Xiong, W., Guo, W., Hu, W., Wang, B.,
Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation,
MultMed(18), No. 8, August 2016, pp. 1616-1627.
IEEE DOI 1608
Automation BibRef

Qiao, M.Y.[Mao-Ying], Liu, L.[Liu], Yu, J.[Jun], Xu, C.[Chang], Tao, D.C.[Da-Cheng],
Diversified dictionaries for multi-instance learning,
PR(64), No. 1, 2017, pp. 407-416.
Elsevier DOI 1701
Multi-instance learning BibRef

Xiao, Y.S.[Yan-Shan], Liu, B.[Bo], Hao, Z.F.[Zhi-Feng],
A Sphere-Description-Based Approach for Multiple-Instance Learning,
PAMI(39), No. 2, February 2017, pp. 242-257.
IEEE DOI 1702
Internet BibRef

Wang, J.J.Y.[Jim Jing-Yan], Tsang, I.W.H.[Ivor Wai-Hung], Cui, X.F.[Xue-Feng], Lu, Z.[Zhiwu], Gao, X.[Xin],
Multi-instance dictionary learning via multivariate performance measure optimization,
PR(66), No. 1, 2017, pp. 448-459.
Elsevier DOI 1704
Multi-instance learning BibRef

Tang, P.[Peng], Wang, X.G.[Xing-Gang], Feng, B.[Bin], Liu, W.Y.[Wen-Yu],
Learning Multi-Instance Deep Discriminative Patterns for Image Classification,
IP(26), No. 7, July 2017, pp. 3385-3396.
IEEE DOI 1706
Feature extraction, Image representation, Neural networks, Semantics, Stochastic processes, Support vector machines, Training, Image classification, deep convolutional neural networks, discriminative patterns, multi-instance learning, stochastic gradient decent. BibRef

Tang, P.[Peng], Wang, X.G.[Xing-Gang], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu],
Multiple Instance Detection Network with Online Instance Classifier Refinement,
CVPR17(3059-3067)
IEEE DOI 1711
Benchmark testing, Detectors, Manifolds, Object detection, Proposals, Streaming media, Training BibRef

Wu, J.X.[Jian-Xin], Bai, X.[Xiang], Loog, M.[Marco], Roli, F.[Fabio], Zhou, Z.H.[Zhi-Hua],
Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision,
PR(71), No. 1, 2017, pp. 444-445.
Elsevier DOI 1707
BibRef

Xu, D.K.[Dong-Kuan], Wu, J.[Jia], Li, D.[Dewei], Tian, Y.J.[Ying-Jie], Zhu, X.Q.[Xing-Quan], Wu, X.D.[Xin-Dong],
SALE: Self-adaptive LSH encoding for multi-instance learning,
PR(71), No. 1, 2017, pp. 460-482.
Elsevier DOI 1707
Multi-instance learning BibRef

Verma, M.[Mridula], Shukla, K.K.,
A new accelerated proximal gradient technique for regularized multitask learning framework,
PRL(95), No. 1, 2017, pp. 98-103.
Elsevier DOI 1708
Multitask learning BibRef


Haußmann, M., Hamprecht, F.A., Kandemir, M.,
Variational Bayesian Multiple Instance Learning with Gaussian Processes,
CVPR17(810-819)
IEEE DOI 1711
Gaussian processes, Object detection, Pipelines, Predictive models, Proposals, Supervised learning, Training BibRef

Karem, A., Frigui, H.,
Multiple Instance Learning with multiple positive and negative target concepts,
ICPR16(474-479)
IEEE DOI 1705
Clustering algorithms, Correlation, Noise measurement, Optimization, Standards, Support, vector, machines BibRef

Venkatesan, R., Chandakkar, P.S., Li, B.,
Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning,
ICCV15(2605-2613)
IEEE DOI 1602
Benchmark testing BibRef

Wang, X., Zhu, Z., Yao, C., Bai, X.,
Relaxed Multiple-Instance SVM with Application to Object Discovery,
ICCV15(1224-1232)
IEEE DOI 1602
Image edge detection BibRef

Sikka, K.[Karan], Giri, R.[Ritwik], Bartlett, M.[Marian],
Joint Clustering and Classification for Multiple Instance Learning,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Yuan, L.M.[Li-Ming], Zhao, L.[Lu], Xu, H.X.[Hai-Xia],
Multi-instance learning via instance-based and bag-based representation transformations,
ICIP15(2771-2775)
IEEE DOI 1512
Multi-instance learning BibRef

Rastegari, M.[Mohammad], Hajishirzi, H.[Hannaneh], Farhadi, A.[Ali],
Discriminative and consistent similarities in instance-level Multiple Instance Learning,
CVPR15(740-748)
IEEE DOI 1510
BibRef

Hajimirsadeghi, H.[Hossein], Yan, W.[Wang], Vahdat, A.[Arash], Mori, G.[Greg],
Visual recognition by counting instances: A multi-instance cardinality potential kernel,
CVPR15(2596-2605)
IEEE DOI 1510
BibRef

Hoffman, J.[Judy], Pathak, D.[Deepak], Darrell, T.J.[Trevor J.], Saenko, K.[Kate],
Detector discovery in the wild: Joint multiple instance and representation learning,
CVPR15(2883-2891)
IEEE DOI 1510
BibRef

Wu, J.J.[Jia-Jun], Yu, Y.[Yinan], Huang, C.[Chang], Yu, K.[Kai],
Deep multiple instance learning for image classification and auto-annotation,
CVPR15(3460-3469)
IEEE DOI 1510
BibRef

Li, W.X.[Wei-Xin], Vasconcelos, N.[Nuno],
Multiple instance learning for soft bags via top instances,
CVPR15(4277-4285)
IEEE DOI 1510
BibRef

Yoon, J.[Jaesik], Choi, J.H.[Jin-Ho], Yoo, C.D.[Chang D.],
A hierarchical-structured dictionary learning for image classification,
ICIP14(155-159)
IEEE DOI 1502
Algorithm design and analysis BibRef

Shrivastava, A.[Ashish], Pillai, J.K.[Jaishanker K.], Patel, V.M.[Vishal M.], Chellappa, R.[Rama],
Dictionary-based multiple instance learning,
ICIP14(160-164)
IEEE DOI 1502
Computer vision BibRef

Fukui, T.[Takayuki], Wada, T.[Toshikazu],
Commonality Preserving Multiple Instance Clustering Based on Diverse Density,
FSLCV14(III: 322-335).
Springer DOI 1504
BibRef
Earlier:
Commonality Preserving Image-Set Clustering Based on Diverse Density,
ISVC14(I: 258-269).
Springer DOI 1501
BibRef

Ali, K.[Karim], Saenko, K.[Kate],
Confidence-Rated Multiple Instance Boosting for Object Detection,
CVPR14(2433-2440)
IEEE DOI 1409
Gradient Boosting; Mutliple Instance Learning; Object Detection BibRef

Wang, Y.Y.[Ying-Ying], Zhang, C.[Chun], Wang, Z.H.[Zhi-Hua],
Rate distortion Multiple Instance Learning for image classification,
ICIP13(3235-3238)
IEEE DOI 1402
Image Classification; Multiple Instance Learning; Rate Distortion BibRef

Zhao, H.F.[Hai-Feng], Cheng, J.[Jun], Jiang, J.[Jun], Tao, D.C.[Da-Cheng],
Multiple instance learning via distance metric optimization,
ICIP13(2617-2621)
IEEE DOI 1402
MILES BibRef

Cheplygina, V.[Veronika], Tax, D.M.J.[David M. J.], Loog, M.[Marco],
Class-Dependent Dissimilarity Measures for Multiple Instance Learning,
SSSPR12(602-610).
Springer DOI 1211
BibRef

Antic, B.[Borislav], Ommer, B.[Björn],
Robust Multiple-Instance Learning with Superbags,
ACCV12(II:242-255).
Springer DOI 1304
Alternate between learn classifier with missing labels, learn missing labels with a classifier. BibRef

Brossi, S.D., Bradley, A.P.,
A Comparison of Multiple Instance and Group Based Learning,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Ngo, T.D.[Thanh Duc], Le, D.D.[Duy-Dinh], Satoh, S.[Shin'ichi],
Improving Image Categorization by Using Multiple Instance Learning with Spatial Relation,
CIAP11(I: 108-117).
Springer DOI 1109
BibRef

Kang, F.[Feng], Naphade, M.R.[Milind R.],
A Generalized Multiple Instance Learning Algorithm for Iterative Distillation and Cross-Granular Propagation of Video Annotations,
ICIP07(II: 205-208).
IEEE DOI 0709
BibRef
Earlier:
A Generalized Multiple Instance Learning Algorithm with Multiple Selection Strategies for Cross Granular Learning,
ICIP06(3213-3216).
IEEE DOI 0610
BibRef

Du, R.[Ruo], Wang, S.[Sheng], Wu, Q.A.[Qi-Ang], He, X.J.[Xiang-Jian],
Learn Concepts in Multiple-Instance Learning with Diverse Density Framework Using Supervised Mean Shift,
DICTA10(643-648).
IEEE DOI 1012
BibRef

Wu, D.[Dijia], Boyer, K.L.[Kim L.],
Resilient Subclass Discriminant Analysis,
ICCV09(389-396).
IEEE DOI 0909
BibRef

Wu, D.[Dijia], Bi, J.[Jinbo], Boyer, K.L.[Kim L.],
A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis,
CVPR09(1359-1366).
IEEE DOI 0906
BibRef

Pao, H.T.[Hsiao T.], Xu, Y.Y.[Yeong Y.], Chuang, S.C.[Shun C.], Fu, H.C.[Hsin C.],
Image Classification and Indexing by EM Based Multiple-Instance Learning,
Visual07(146-153).
Springer DOI 0706
BibRef

Maron, O.[Oded], Ratan, A.L.[Aparna L.],
Multiple-Instance Learning for Natural Scene Classification,
DARPA98(1031-1036). BibRef 9800

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Learning Model Descriptions .


Last update:Nov 18, 2017 at 20:56:18