2011 10th International Conference on Machine Learning and Applications Max-Coupled Learning: Application To Breast Cancer Jaime S. Cardoso and Inˆes Domingues

Source URL: medicalresearch.inescporto.pt

• Machine learning
• Semi-supervised learning
• Test set
• Co-training
• Supervised learning
• Multiple instance learning
• Artificial neural network
• Support vector machine
• Online machine learning

Multi-Instance Methods for Partially Supervised Image Segmentation Andreas M¨ uller? and Sven Behnke , Autonomous Intelligent Systems

Source URL: amueller.github.io

• Machine learning
• Formal sciences
• Artificial intelligence
• Image processing
• Image segmentation
• Computer vision
• Support vector machine
• Pattern recognition
• Kernel method
• Multiple-instance learning
• Statistical classification
• Multiple kernel learning

Journal of Machine Learning Research1261 Submitted 10/10; Revised 2/11; Published 4/11 Learning from Partial Labels Timothee Cour

Source URL: www.seas.upenn.edu

• Machine learning
• Semi-supervised learning
• Support vector machine
• Supervised learning
• Multi-label classification
• Multiple instance learning
• Stability

Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning? Boris Babenko1 Piotr Doll´ar1,2

Source URL: pages.ucsd.edu

• Machine learning
• Ensemble learning
• Boosting
• Statistical classification
• Gradient boosting
• Supervised learning
• Multiple instance learning

Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning 1 Mohammad Rastegari1 , Hannaneh Hajishirzi2 , Ali Farhadi2,3

Source URL: ai2-website.s3.amazonaws.com

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis Nikolaos Pappas Andrei Popescu-Belis EPFL and Idiap Research Institute Idiap Research Institute

Source URL: emnlp2014.org

Robust Multiple-Instance Learning with Superbags Borislav Anti´c and Bj¨orn Ommer Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany {borislav.antic,bommer}@iwr.uni-heidelberg.de

Source URL: hci.iwr.uni-heidelberg.de

Document Image Classification and Labeling using Multiple Instance Learning Jayant Kumar Jaishanker Pillai David Doermann Institute of Advanced Computer Studies University of Maryland College Park, USA {jayant, jsp, doer

Source URL: www.umiacs.umd.edu

• Machine learning
• Artificial intelligence
• Learning
• Cognition
• Multiple-instance learning
• Multiple instance learning
• Support vector machine
• Document classification
• Statistical classification
• Supervised learning
• Image segmentation

Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection George Papandreou1 , Iasonas Kokkinos2 , Pierre-André Savalle2 1 Google. 2 Centrale

Source URL: www.cv-foundation.org

Visual Tracking with Online Multiple Instance Learning Boris Babenko Ming-Hsuan Yang Serge Belongie

Source URL: vision.ucsd.edu