1![Journal of Machine Learning Research–816 Submitted 11/03; Revised 12/04; Published 5/05 Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application Journal of Machine Learning Research–816 Submitted 11/03; Revised 12/04; Published 5/05 Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application](https://www.pdfsearch.io/img/f009bd762011015108baa75dc8271dc4.jpg) | Add to Reading ListSource URL: dsp.ucsd.eduLanguage: English - Date: 2018-07-19 19:02:54
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2![A Self-paced Multiple-instance Learning Framework for Co-saliency Detection Dingwen Zhang1, Deyu Meng2, Chao Li1, Lu Jiang3, Qian Zhao2, and Junwei Han1* 1 School of Automation, Northwestern Polytechnical University 2 Sc A Self-paced Multiple-instance Learning Framework for Co-saliency Detection Dingwen Zhang1, Deyu Meng2, Chao Li1, Lu Jiang3, Qian Zhao2, and Junwei Han1* 1 School of Automation, Northwestern Polytechnical University 2 Sc](https://www.pdfsearch.io/img/5f484ffb939902c4dc760abc88b917bb.jpg) | Add to Reading ListSource URL: www.cv-foundation.org- Date: 2015-10-24 15:03:43
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3![Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering Yan Xu∗1,2 , Jun-Yan Zhu∗2,3 , Eric Chang2 and Zhuowen Tu2,4 State Key Laboratory of Software Developme Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering Yan Xu∗1,2 , Jun-Yan Zhu∗2,3 , Eric Chang2 and Zhuowen Tu2,4 State Key Laboratory of Software Developme](https://www.pdfsearch.io/img/6f71505086a42a842f021137466dd508.jpg) | Add to Reading ListSource URL: pages.ucsd.edu- Date: 2014-09-19 15:50:33
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4![Many learning tasks, such as cross-validation, parameter search, or leave-one-out analysis, involve multiple instances of similar problems, each instance sharing a large part of learning data with the others. We introduc Many learning tasks, such as cross-validation, parameter search, or leave-one-out analysis, involve multiple instances of similar problems, each instance sharing a large part of learning data with the others. We introduc](https://www.pdfsearch.io/img/30a0db2e605377ba50a193365f2e9617.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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5![Max-Margin Multiple-Instance Dictionary Learning Xinggang Wang† Baoyuan Wang‡ Max-Margin Multiple-Instance Dictionary Learning Xinggang Wang† Baoyuan Wang‡](https://www.pdfsearch.io/img/0d3ea65638b2735ccebb5dbdff6d22bf.jpg) | Add to Reading ListSource URL: pages.ucsd.eduLanguage: English - Date: 2013-06-24 00:00:30
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6![A Conditional Random Field for Multiple-Instance Learning Thomas Deselaers Vittorio Ferrari Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland A Conditional Random Field for Multiple-Instance Learning Thomas Deselaers Vittorio Ferrari Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland](https://www.pdfsearch.io/img/147b55febd6e929d3548f9bae2eb8c3a.jpg) | Add to Reading ListSource URL: thomas.deselaers.deLanguage: English - Date: 2014-10-11 09:29:28
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7![Harvesting Mid-level Visual Concepts from Large-scale Internet Images Quannan Li1 , Jiajun Wu2 , Zhuowen Tu1 1 Lab of Neuro Imaging and Department of Computer Science, UCLA 2 Institute for Interdisciplinary Information S Harvesting Mid-level Visual Concepts from Large-scale Internet Images Quannan Li1 , Jiajun Wu2 , Zhuowen Tu1 1 Lab of Neuro Imaging and Department of Computer Science, UCLA 2 Institute for Interdisciplinary Information S](https://www.pdfsearch.io/img/3db689da89034c91a79530ba13442724.jpg) | Add to Reading ListSource URL: pages.ucsd.eduLanguage: English - Date: 2013-04-17 01:26:45
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8![Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science](https://www.pdfsearch.io/img/86c1fb679ebf6b78aabe89225770c88c.jpg) | Add to Reading ListSource URL: www.seas.upenn.eduLanguage: English - Date: 2010-11-04 10:51:45
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9![Many learning tasks, such as cross-validation, parameter search, or leave-one-out analysis, involve multiple instances of similar problems, each instance sharing a large part of learning data with the others. We introduc Many learning tasks, such as cross-validation, parameter search, or leave-one-out analysis, involve multiple instances of similar problems, each instance sharing a large part of learning data with the others. We introduc](https://www.pdfsearch.io/img/2ee6dabeaf0535eac52e1726129ec1e0.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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10![Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis Yan Xu1,2 , Jianwen Zhang2 , Eric I-Chao Chang2 , Maode Lai4 , and Zhuowen Tu2,3 1 State Key Laboratory of Software Development Environmen Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis Yan Xu1,2 , Jianwen Zhang2 , Eric I-Chao Chang2 , Maode Lai4 , and Zhuowen Tu2,3 1 State Key Laboratory of Software Development Environmen](https://www.pdfsearch.io/img/1c35261a2ad184fe61af0452cca389bb.jpg) | Add to Reading ListSource URL: pages.ucsd.eduLanguage: English - Date: 2013-02-23 14:26:54
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