Boosting instance prototypes to detect local dermoscopic features
暂无分享,去创建一个
[1] Masaru Tanaka,et al. Pattern Classification of Nevus with Texture Analysis , 2008 .
[2] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Wu-Jun Li,et al. Localized content-based image retrieval through evidence region identification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Tomás Lozano-Pérez,et al. A Framework for Multiple-Instance Learning , 1997, NIPS.
[5] Thomas G. Dietterich,et al. Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..
[6] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[7] Vladimir Kolmogorov,et al. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Yixin Chen,et al. Image Categorization by Learning and Reasoning with Regions , 2004, J. Mach. Learn. Res..
[9] Begoña Acha,et al. Pattern analysis of dermoscopic images based on Markov random fields , 2009, Pattern Recognit..
[10] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[11] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[13] S. Menzies,et al. Automated epiluminescence microscopy: human vs machine in the diagnosis of melanoma. , 1999, Archives of dermatology.
[14] R. Johr. Dermoscopy: alternative melanocytic algorithms-the ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist. , 2002, Clinics in dermatology.
[15] Thomas G. Dietterich,et al. Learning non-redundant codebooks for classifying complex objects , 2009, ICML '09.
[16] G. Argenziano,et al. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. , 1998, Archives of dermatology.