Taxonomic Prediction with Tree-Structured Covariances
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[1] L. Cavalli-Sforza,et al. PHYLOGENETIC ANALYSIS: MODELS AND ESTIMATION PROCEDURES , 1967, Evolution; international journal of organic evolution.
[2] P. Buneman. The Recovery of Trees from Measures of Dissimilarity , 1971 .
[3] J. Magnus,et al. Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .
[4] Ke Wang,et al. Building Hierarchical Classifiers Using Class Proximity , 1999, VLDB.
[5] Koby Crammer,et al. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines , 2002, J. Mach. Learn. Res..
[6] Xiaojin Zhu,et al. Kernel conditional random fields: representation and clique selection , 2004, ICML.
[7] Thomas Hofmann,et al. Support vector machine learning for interdependent and structured output spaces , 2004, ICML.
[8] Thomas Hofmann,et al. Hierarchical document categorization with support vector machines , 2004, CIKM '04.
[9] Xiaodong Fan. Efficient multiclass object detection by a hierarchy of classifiers , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[10] Bernhard Schölkopf,et al. Kernel Measures of Conditional Dependence , 2007, NIPS.
[11] Daphna Weinshall,et al. Exploiting Object Hierarchy: Combining Models from Different Category Levels , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[12] Cordelia Schmid,et al. Semantic Hierarchies for Visual Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Jason Weston,et al. Large-scale kernel machines , 2007 .
[14] Le Song,et al. A dependence maximization view of clustering , 2007, ICML '07.
[15] Robert Tibshirani,et al. Margin Trees for High-dimensional Classification , 2007, J. Mach. Learn. Res..
[16] Andrew J. Davison,et al. Active Matching , 2008, ECCV.
[17] Christoph H. Lampert,et al. A Multiple Kernel Learning Approach to Joint Multi-class Object Detection , 2008, DAGM-Symposium.
[18] Arthur Gretton,et al. Taxonomy Inference Using Kernel Dependence Measures , 2008 .
[19] Pietro Perona,et al. Learning and using taxonomies for fast visual categorization , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Arthur Gretton,et al. Learning Taxonomies by Dependence Maximization , 2008, NIPS.
[21] Kilian Q. Weinberger,et al. Large Margin Taxonomy Embedding for Document Categorization , 2008, NIPS.
[22] Kilian Q. Weinberger,et al. Large margin taxonomy embedding with an application to document categorization , 2008, NIPS 2008.
[23] Cordelia Schmid,et al. Constructing Category Hierarchies for Visual Recognition , 2008, ECCV.
[24] Stephen J. Wright,et al. Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming , 2009, AISTATS.
[25] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[26] Sebastian Nowozin,et al. On feature combination for multiclass object classification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[27] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[28] Andrew Zisserman,et al. Delving deeper into the whorl of flower segmentation , 2010, Image Vis. Comput..
[29] Jason Weston,et al. Label Embedding Trees for Large Multi-Class Tasks , 2010, NIPS.
[30] H. Volger. WIPO – World Intellectual Property Organization , 2010 .
[31] Motoaki Kawanabe,et al. On Taxonomies for Multi-class Image Categorization , 2012, International Journal of Computer Vision.
[32] Daphne Koller,et al. Discriminative learning of relaxed hierarchy for large-scale visual recognition , 2011, 2011 International Conference on Computer Vision.
[33] Eric P. Xing,et al. Large-Scale Category Structure Aware Image Categorization , 2011, NIPS.
[34] Tibério S. Caetano,et al. Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies , 2013, International Journal of Computer Vision.
[35] Matthieu Guillaumin,et al. Segmentation Propagation in ImageNet , 2012, ECCV.
[36] Matthew B. Blaschko,et al. Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking , 2012, ECCV.