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Different Features. Glasses vs. No Glasses. Beard vs. No Beard. Beard Distinction. Ghodsi et, al 2007. Glasses Distinction. Ghodsi et, al 2007. Multiple-Attribute Metric. Ghodsi et, al 2007. Embedding of sparse music similarity graph. Platt, 2004. Reinforcement learning.
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Beard Distinction Ghodsi et, al 2007
Glasses Distinction Ghodsi et, al 2007
Multiple-Attribute Metric Ghodsi et, al 2007
Embedding of sparse music similarity graph Platt, 2004
Reinforcement learning Mahadevan and Maggioini, 2005
Semi-supervised learning Use graph-based discretization of manifold to infer missing labels. Belkin & Niyogi, 2004; Zien et al, Eds., 2005 Build classifiers from bottom eigenvectors of graph Laplacian.
http://www.bushorchimp.com correspondences
c et al, 2003, 2005 Learning correspondences How can we learn manifold structure that is shared across multiple data sets?
Mapping and robot localization • Bowling, Ghodsi, Wilkinson 2005 Ham, Lin, D.D. 2005
Features (X) (Green, 6, 4, 4.5) (Green, 7, 4.5, 5) (Red, 6, 3, 3.5) (Red, 4.5, 4, 4.5) (Yellow, 1.5, 8, 2) (Yellow, 1.5, 7, 2.5)
Features and labels Green Pepper (Green, 6, 4, 4.5) (Green, 7, 4.5, 5) Green Pepper (Red, 6, 3, 3.5) Red Pepper (Red, 4.5, 4, 4.5) Red Pepper (Yellow, 1.5, 8, 2) Hot Pepper (Yellow, 1.5, 7, 2.5) Hot Pepper
Features and labels Objects Features (X) Labels (Y)
Classification (New point) h(Red, 7, 4, 4.5) (Red, 7, 4, 4.5) ?
Classification (New point) h(Red, 5, 3, 4.5) (Red, 5, 3, 4.5) ?
Computer Vision N. Jojic and B.J. Frey, “ Learning flexible sprites in video layers”, CVPR 2001, (Video)
Reading • Journals: Neural Computation, JMLR, ML, IEEE PAMI • Conferences: NIPS, UAI, ICML, AI-STATS, IJCAI, IJCNN • Vision: CVPR, ECCV, SIGGRAPH • Speech: EuroSpeech, ICSLP, ICASSP • Online: citesser, google • Books: • Elements of Statistical Learning, Hastie, Tibshirani, Friedman • Learning from Data, Cherkassky, Mulier • Pattern classification, Duda, Hart, Stork • Neural Networks for pattern Recognition, Bishop • Pattern recognition and machine learning, Bishop