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A machine learning approach for material detection in hyperspectral images.

, , , , and . CVPR Workshops, page 106-111. IEEE Computer Society, (2009)

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Incremental indexing and distributed image search using shared randomized vocabularies., , , and . Multimedia Information Retrieval, page 91-100. ACM, (2010)Towards generic image classification using tree-based learning: An extensive empirical study., , and . Pattern Recognition Letters, (2016)Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees., , and . IPSJ Trans. Computer Vision and Applications, (2009)A Comparison of Generic Machine Learning Algorithms for Image Classification., , , , and . SGAI Conf., page 169-182. Springer, (2003)Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees., , and . ACCV (2), volume 4844 of Lecture Notes in Computer Science, page 611-620. Springer, (2007)A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning., , , , , , , , and . ISBI, page 902-906. IEEE, (2014)Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods., , , , , , and . PRIB, volume 7036 of Lecture Notes in Computer Science, page 179-190. Springer, (2011)A machine learning approach for material detection in hyperspectral images., , , , and . CVPR Workshops, page 106-111. IEEE Computer Society, (2009)Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments., , and . CLEF (Notebook Papers/LABs/Workshops), volume 1176 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Reinforcement Learning with Raw Image Pixels as Input State., , and . IWICPAS, volume 4153 of Lecture Notes in Computer Science, page 446-454. Springer, (2006)