Active classifier selection for RGB-D object categorization using a Markov random field ensemble method
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Zoltan-Csaba Marton | Maximilian Durner | Martin Kleinsteuber | Haider Ali | Ulrich Hillenbrand | U. Hillenbrand | Zoltán-Csaba Márton | M. Kleinsteuber | Haider Ali | M. Durner
[1] Zoltan-Csaba Marton,et al. Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation , 2012, IEEE Robotics & Automation Magazine.
[2] Philippe Lucidarme,et al. Object recognition based on radial basis function neural networks: Experiments with RGB-D camera embedded on mobile robots , 2012, 2012 1st International Conference on Systems and Computer Science (ICSCS).
[3] Daphne Koller,et al. Active Classification based on Value of Classifier , 2011, NIPS.
[4] Dieter Fox,et al. NEOL: Toward Never-Ending Object Learning for robots , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[5] Fabio Roli,et al. An approach to the automatic design of multiple classifier systems , 2001, Pattern Recognit. Lett..
[6] Kevin Leyton-Brown,et al. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms , 2012, KDD.
[7] Cristian Sminchisescu,et al. Efficient Match Kernel between Sets of Features for Visual Recognition , 2009, NIPS.
[8] Nico Blodow,et al. Persistent Point Feature Histograms for 3D Point Clouds , 2008 .
[9] Emilio Corchado,et al. A survey of multiple classifier systems as hybrid systems , 2014, Inf. Fusion.
[10] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[11] Zoltan-Csaba Marton,et al. Ensembles of strong learners for multi-cue classification , 2013, Pattern Recognit. Lett..
[12] MalikJitendra,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001 .
[13] Fabio Roli,et al. Design of effective neural network ensembles for image classification purposes , 2001, Image Vis. Comput..
[14] Marco Loog,et al. Dissimilarity-Based Ensembles for Multiple Instance Learning , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[15] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[16] Fabio Roli,et al. Methods for dynamic classifier selection , 1999, Proceedings 10th International Conference on Image Analysis and Processing.
[17] D. Kragic,et al. 2 D / 3 D Object Categorization for Task Based Grasping , 2011 .
[18] Ching Y. Suen,et al. Optimal combinations of pattern classifiers , 1995, Pattern Recognit. Lett..
[19] Luiz Eduardo Soares de Oliveira,et al. Dynamic selection of classifiers - A comprehensive review , 2014, Pattern Recognit..
[20] Fabio Roli,et al. Design of effective multiple classifier systems by clustering of classifiers , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[21] Anne M. P. Canuto,et al. A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity , 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).
[22] Ben Taskar,et al. Learning associative Markov networks , 2004, ICML.
[23] Martin A. Riedmiller,et al. On the Applicability of Unsupervised Feature Learning for Object Recognition in RGB-D Data , 2011 .
[24] Athena Vakali,et al. Contextual object category recognition for RGB-D scene labeling , 2014, Robotics Auton. Syst..
[25] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[26] Zoltan-Csaba Marton,et al. Evaluation of feature selection and model training strategies for object category recognition , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[27] Ludmila I. Kuncheva,et al. Combining Pattern Classifiers: Methods and Algorithms , 2004 .
[28] Dieter Fox,et al. A large-scale hierarchical multi-view RGB-D object dataset , 2011, 2011 IEEE International Conference on Robotics and Automation.
[29] Sven Behnke,et al. RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[30] Zhengyou Zhang,et al. Microsoft Kinect Sensor and Its Effect , 2012, IEEE Multim..
[31] Amar Mitiche,et al. Classifier combination for hand-printed digit recognition , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).