Landmine detection with Multiple Instance Hidden Markov Models
暂无分享,去创建一个
[1] Murat Dundar,et al. Bayesian multiple instance learning: automatic feature selection and inductive transfer , 2008, ICML '08.
[2] Leslie M. Collins,et al. Application of Markov random fields to landmine detection in ground penetrating radar data , 2008, SPIE Defense + Commercial Sensing.
[3] Paul D. Gader,et al. Context-Dependent Multisensor Fusion and Its Application to Land Mine Detection , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[4] Alain Biem,et al. Minimum classification error training for online handwriting recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Zhi-Hua Zhou. Multi-Instance Learning : A Survey , 2004 .
[6] Petar M. Djuric,et al. An MCMC sampling approach to estimation of nonstationary hidden Markov models , 2002, IEEE Trans. Signal Process..
[7] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[8] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[9] Qi Zhang,et al. Content-Based Image Retrieval Using Multiple-Instance Learning , 2002, ICML.
[10] Paul D. Gader,et al. Landmine detection with ground penetrating radar using hidden Markov models , 2001, IEEE Trans. Geosci. Remote. Sens..
[11] Paul D. Gader,et al. Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[12] Paul D. Gader,et al. Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning , 2010, 2010 20th International Conference on Pattern Recognition.
[13] Tomás Lozano-Pérez,et al. A Framework for Multiple-Instance Learning , 1997, NIPS.
[14] Zhi-Hua Zhou,et al. Multi-instance multi-label learning , 2008, Artif. Intell..
[15] Joseph N. Wilson,et al. Detecting landmines with ground-penetrating radar using feature-based rules, order statistics, and adaptive whitening , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[16] Joseph N. Wilson,et al. A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[17] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[18] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[19] Paul D. Gader,et al. Generalized hidden Markov models. I. Theoretical frameworks , 2000, IEEE Trans. Fuzzy Syst..
[20] Ping Chen,et al. Training DHMMs of mine and clutter to minimize landmine detection errors , 2003, IEEE Trans. Geosci. Remote. Sens..
[21] Paul Gader,et al. Simultaneous feature and HMM Model learning for landmine detection using Ground Penetrating Radar , 2010, 2010 IAPR Workshop on Pattern Recognition in Remote Sensing.
[22] Tong Zhang,et al. On the Dual Formulation of Regularized Linear Systems with Convex Risks , 2002, Machine Learning.
[23] Kristin P. Bennett,et al. Fast Bundle Algorithm for Multiple-Instance Learning , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Paul D. Gader,et al. Real-Time Landmine Detection with Ground-Penetrating Radar Using Discriminative and Adaptive Hidden Markov Models , 2005, EURASIP J. Adv. Signal Process..
[25] Lawrence Carin,et al. Hidden Markov Models With Stick-Breaking Priors , 2009, IEEE Transactions on Signal Processing.
[26] Thomas G. Dietterich,et al. Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..
[27] Paul D. Gader,et al. Detection and Discrimination of Land Mines in Ground-Penetrating Radar Based on Edge Histogram Descriptors and a Possibilistic $K$-Nearest Neighbor Classifier , 2009, IEEE Transactions on Fuzzy Systems.
[28] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[29] Jun Yang. Review of Multi-Instance Learning and Its applications , 2005 .
[30] Biing-Hwang Juang,et al. Minimum classification error rate methods for speech recognition , 1997, IEEE Trans. Speech Audio Process..
[31] Paul D. Gader,et al. Random set framework for multiple instance learning , 2011, Inf. Sci..