Distance based similarity models for content based multimedia retrieval

Zusammenfassung 1

[1]  Sang Uk Lee,et al.  A New Similarity Measure for Random Signatures: Perceptually Modified Hausdorff Distance , 2006, ACIVS.

[2]  Pietro Perona,et al.  Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[3]  Elena Deza,et al.  Encyclopedia of Distances , 2014 .

[4]  G. W. Hughes,et al.  Minimum Prediction Residual Principle Applied to Speech Recognition , 1975 .

[5]  Tomás Skopal,et al.  Pivoting M-tree: A Metric Access Method for Efficient Similarity Search , 2004, DATESO.

[6]  Holger Wendland,et al.  Scattered Data Approximation: Conditionally positive definite functions , 2004 .

[7]  Benjamin Bustos,et al.  On nonmetric similarity search problems in complex domains , 2011, CSUR.

[8]  R. Dobrushin Prescribing a System of Random Variables by Conditional Distributions , 1970 .

[9]  A. Magid Basic Algebra I, second edition. By Nathan Jacobson. , 1986 .

[10]  Gerald B. Folland,et al.  Real Analysis: Modern Techniques and Their Applications , 1984 .

[11]  Hans-Peter Kriegel,et al.  Efficient User-Adaptable Similarity Search in Large Multimedia Databases , 1997, VLDB.

[12]  P. Mahalanobis On the generalized distance in statistics , 1936 .

[13]  Alison L Gibbs,et al.  On Choosing and Bounding Probability Metrics , 2002, math/0209021.

[14]  Xian-Sheng Hua,et al.  MSRA-MM: Bridging Research and Industrial Societies for Multimedia Information Retrieval , 2009 .

[15]  Theodore Shifrin,et al.  Linear Algebra: A Geometric Approach , 2001 .

[16]  G. Casella,et al.  Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.

[17]  Rui Li,et al.  The analysis and applications of adaptive-binning color histograms , 2004, Comput. Vis. Image Underst..

[18]  Thomas Seidl,et al.  Poster : Cascading Components for Efficient Querying of Similarity-Based Visualizations , 2010 .

[19]  Li Li,et al.  A Survey on Visual Content-Based Video Indexing and Retrieval , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[20]  Thomas Seidl,et al.  A comparative study of similarity measures for content-based multimedia retrieval , 2010, 2010 IEEE International Conference on Multimedia and Expo.

[21]  Christian Beecks,et al.  Nonmetric Earth Mover ’ s Distance for Efficient Similarity Search , 2012 .

[22]  M. Zwaan An introduction to hilbert space , 1990 .

[23]  Gerald Schaefer,et al.  UCID: an uncompressed color image database , 2003, IS&T/SPIE Electronic Imaging.

[24]  Ricardo da Silva Torres,et al.  Comparative study of global color and texture descriptors for web image retrieval , 2012, J. Vis. Commun. Image Represent..

[25]  Alexander von Eye,et al.  A 14th Way to Look at a Correlation Coefficient: Correlation as the Proportion of Matches , 1997 .

[26]  Bernd Freisleben,et al.  Visual speaker model exploration , 2010, 2010 IEEE International Conference on Multimedia and Expo.

[27]  Thomas Seidl,et al.  Signature Quadratic Form Distance , 2010, CIVR '10.

[28]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[29]  K. Pearson VII. Note on regression and inheritance in the case of two parents , 1895, Proceedings of the Royal Society of London.

[30]  Christos Faloutsos,et al.  Fast Nearest Neighbor Search in Medical Image Databases , 1996, VLDB.

[31]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[32]  Jing Li,et al.  A comprehensive review of current local features for computer vision , 2008, Neurocomputing.

[33]  David Novak,et al.  Metric Index: An efficient and scalable solution for precise and approximate similarity search , 2011, Inf. Syst..

[34]  Leonidas J. Guibas,et al.  The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.

[35]  Christos Faloutsos,et al.  Fast and Effective Retrieval of Medical Tumor Shapes , 1998, IEEE Trans. Knowl. Data Eng..

[36]  S. Kumaresan Linear Algebra: A Geometric Approach , 2004 .

[37]  Cordelia Schmid,et al.  Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search , 2008, ECCV.

[38]  Patrick Haffner,et al.  Support vector machines for histogram-based image classification , 1999, IEEE Trans. Neural Networks.

[39]  Koen E. A. van de Sande,et al.  Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[40]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[41]  Hanan Samet,et al.  Index-driven similarity search in metric spaces (Survey Article) , 2003, TODS.

[42]  Christian Böhm,et al.  Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases , 2001, CSUR.

[43]  A. Atiya,et al.  Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.

[44]  John R. Hershey,et al.  Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[45]  C. Krumhansl Concerning the Applicability of Geometric Models to Similarity Data : The Interrelationship Between Similarity and Spatial Density , 2005 .

[46]  Luisa Micó,et al.  A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing time and memory requirements , 1994, Pattern Recognit. Lett..

[47]  S. Julier,et al.  A General Method for Approximating Nonlinear Transformations of Probability Distributions , 1996 .

[48]  T. Kailath The Divergence and Bhattacharyya Distance Measures in Signal Selection , 1967 .

[49]  R. Shepard Stimulus and response generalization: A stochastic model relating generalization to distance in psychological space , 1957 .

[50]  Michael E. Houle,et al.  Dimensional Testing for Multi-step Similarity Search , 2012, 2012 IEEE 12th International Conference on Data Mining.

[51]  Tomás Skopal,et al.  Unified framework for fast exact and approximate search in dissimilarity spaces , 2007, TODS.

[52]  N. Sudha,et al.  Robust Hausdorff distance measure for face recognition , 2007, Pattern Recognit..

[53]  Meng Wang,et al.  Visual query suggestion , 2010, ACM Trans. Multim. Comput. Commun. Appl..

[54]  Juergen Luettin,et al.  Audio-Visual Automatic Speech Recognition: An Overview , 2004 .

[55]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[56]  Klaus Schöffmann,et al.  3D Image Browsing on Mobile Devices , 2011, 2011 IEEE International Symposium on Multimedia.

[57]  P. R. Fisk,et al.  Distributions in Statistics: Continuous Multivariate Distributions , 1971 .

[58]  Thomas Seidl,et al.  The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities , 2012, Frontiers of Computer Science.

[59]  Jianbing Chen,et al.  Stochastic Dynamics of Structures , 2009 .

[60]  Vipin Kumar,et al.  Similarity Measures for Categorical Data: A Comparative Evaluation , 2008, SDM.

[61]  Andrea Esuli,et al.  CoPhIR: a Test Collection for Content-Based Image Retrieval , 2009, ArXiv.

[62]  Martin Krulis,et al.  Processing the signature quadratic form distance on many-core GPU architectures , 2011, CIKM '11.

[63]  I. J. Schoenberg On Metric Arcs of Vanishing Menger Curvature , 1940 .

[64]  Christos Faloutsos,et al.  Efficient and effective Querying by Image Content , 1994, Journal of Intelligent Information Systems.

[65]  Christian Breiteneder,et al.  Features for Content-Based Audio Retrieval , 2010, Adv. Comput..

[66]  Thomas Seidl,et al.  Modeling multimedia contents through probabilistic feature signatures , 2011, MM '11.

[67]  Thomas Seidl,et al.  Distance-Based Similarity Search in Multimedia Databases , 2009 .

[68]  Cordelia Schmid,et al.  Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.

[69]  Thomas Seidl,et al.  Signature quadratic form distances for content-based similarity , 2009, ACM Multimedia.

[70]  Thomas Seidl,et al.  Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance , 2009, CIKM.

[71]  Rui Li,et al.  Adaptive binning and dissimilarity measure for image retrieval and classification , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[72]  Joachim M. Buhmann,et al.  Non-parametric similarity measures for unsupervised texture segmentation and image retrieval , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[73]  Aly A. Farag,et al.  CSIFT: A SIFT Descriptor with Color Invariant Characteristics , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[74]  Anil K. Jain,et al.  A modified Hausdorff distance for object matching , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[75]  Jian Pei,et al.  Data Mining: Concepts and Techniques, 3rd edition , 2006 .

[76]  Leonidas J. Guibas,et al.  A metric for distributions with applications to image databases , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[77]  Pavel Zezula,et al.  Similarity Search - The Metric Space Approach , 2005, Advances in Database Systems.

[78]  Clu-istos Foutsos,et al.  Fast subsequence matching in time-series databases , 1994, SIGMOD '94.

[79]  Christos Faloutsos,et al.  QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.

[80]  Cordelia Schmid,et al.  Evaluation of GIST descriptors for web-scale image search , 2009, CIVR '09.

[81]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[82]  Lucia Bertini SCHOOL OF INFORMATION STUDIES , 1977 .

[83]  Thomas Seidl,et al.  Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance , 2011, 2011 International Conference on Computer Vision.

[84]  Sang Uk Lee,et al.  Color-Based Image Retrieval Using Perceptually Modified Hausdorff Distance , 2008, EURASIP J. Image Video Process..

[85]  Jakub Lokoc,et al.  Ptolemaic access methods: Challenging the reign of the metric space model , 2013, Inf. Syst..

[86]  P. Dirac Principles of Quantum Mechanics , 1982 .

[87]  S. Lanka. Technical report 1989. , 1990 .

[88]  Thomas Seidl,et al.  Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance , 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

[89]  Guojun Lu,et al.  Evaluation of similarity measurement for image retrieval , 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

[90]  Bernhard Schölkopf,et al.  The Kernel Trick for Distances , 2000, NIPS.

[91]  Thomas Seidl,et al.  Similarity Search by Earth Movers Distance using Nonmetric Ground Distances , 2012, MMEDIA 2012.

[92]  Pavel Zezula,et al.  M-tree: An Efficient Access Method for Similarity Search in Metric Spaces , 1997, VLDB.

[93]  Arnold W. M. Smeulders,et al.  The Amsterdam Library of Object Images , 2004, International Journal of Computer Vision.

[94]  Ira Assent,et al.  Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction , 2008, SIGMOD Conference.

[95]  Samuel Kotz,et al.  Continuous univariate distributions : distributions in statistics , 1970 .

[96]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[97]  Jakub Lokoc,et al.  On (not) indexing quadratic form distance by metric access methods , 2011, EDBT/ICDT '11.

[98]  Thomas Seidl,et al.  Efficient content-based information retrieval: a new similarity measure for multimedia data , 2009 .

[99]  Magnus Lie Hetland Ptolemaic indexing , 2009, J. Comput. Geom..

[100]  Thomas Seidl,et al.  Applying similarity search for the investigation of the fuel injection process , 2011, SISAP.

[101]  Martin Krulis,et al.  Combining CPU and GPU architectures for fast similarity search , 2012, Distributed and Parallel Databases.

[102]  Ira Assent,et al.  Adaptable Distance Functions for Similarity-based Multimedia Retrieval , 2006, Datenbank-Spektrum.

[103]  Thomas Seidl,et al.  Relevance Feedback for the Earth Mover's Distance , 2009, Adaptive Multimedia Retrieval.

[104]  Gertjan J. Burghouts,et al.  Performance evaluation of local colour invariants , 2009, Comput. Vis. Image Underst..

[105]  Joachim M. Buhmann,et al.  Empirical evaluation of dissimilarity measures for color and texture , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[106]  Michael McGill,et al.  An Evaluation of Factors Affecting Document Ranking by Information Retrieval Systems. , 1979 .

[107]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[108]  Hermann Ney,et al.  Features for image retrieval: an experimental comparison , 2008, Information Retrieval.

[109]  Jake K. Aggarwal,et al.  Human Motion Analysis: A Review , 1999, Comput. Vis. Image Underst..

[110]  Thomas Seidl,et al.  Index support for content-based multimedia exploration , 2010, ACM Multimedia.

[111]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[112]  David W. Jacobs,et al.  Approximate earth mover’s distance in linear time , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[113]  Simone Santini,et al.  Similarity Measures , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[114]  Thomas Seidl,et al.  Signature matching distance for content-based image retrieval , 2013, ICMR.

[115]  Beat Fasel,et al.  Automatic facial expression analysis: a survey , 2003, Pattern Recognit..

[116]  Nuno Vasconcelos,et al.  On the complexity of probabilistic image retrieval , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[117]  N. Aronszajn Theory of Reproducing Kernels. , 1950 .

[118]  Thomas Seidl,et al.  Ranking multimedia databases via relevance feedback with history and foresight support , 2008, 2008 IEEE 24th International Conference on Data Engineering Workshop.

[119]  Magnus Lie Hetland The Basic Principles of Metric Indexing , 2009 .

[120]  Ira Assent,et al.  Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences , 2011, MMM.

[121]  Thomas Seidl,et al.  Improving the Efficiency of Content-Based Multimedia Exploration , 2010, 2010 20th International Conference on Pattern Recognition.

[122]  Nicu Sebe,et al.  Multimodal Human Computer Interaction: A Survey , 2005, ICCV-HCI.

[123]  Ira Assent,et al.  Approximation Techniques for Indexing the Earth Mover’s Distance in Multimedia Databases , 2006, 22nd International Conference on Data Engineering (ICDE'06).

[124]  K. Mikolajczyk Detection of local features invariant to affine transformations : application to matching and recognition , 2002 .

[125]  Edward A. Patrick,et al.  Nonparametric feature selection , 1969, IEEE Trans. Inf. Theory.

[126]  N. L. Johnson,et al.  Distributions in Statistics: Discrete Distributions. , 1970 .

[127]  Tobias Meisen,et al.  Efficient similarity search using the Earth Mover's Distance for large multimedia databases , 2008, 2008 IEEE 24th International Conference on Data Engineering.

[128]  Michael Werman,et al.  A Unified Approach to the Change of Resolution: Space and Gray-Level , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[129]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[130]  S. Chiba,et al.  Dynamic programming algorithm optimization for spoken word recognition , 1978 .

[131]  Charu C. Aggarwal,et al.  On the Surprising Behavior of Distance Metrics in High Dimensional Spaces , 2001, ICDT.

[132]  Sung-Hyuk Cha Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions , 2007 .

[133]  Thomas Seidl,et al.  Towards Large-Scale Multimedia Exploration , 2011 .

[134]  Ian Witten,et al.  Data Mining , 2000 .

[135]  Thomas Seidl,et al.  Similarity matrix compression for efficient signature quadratic form distance computation , 2010, SISAP.

[136]  Brian C. Lovell,et al.  Feature Space Hausdorff Distance for Face Recognition , 2010, 2010 20th International Conference on Pattern Recognition.

[137]  Matthijs C. Dorst Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[138]  Thomas Seidl,et al.  On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval , 2012, MMM.

[139]  Sharad Mehrotra,et al.  Query reformulation for content based multimedia retrieval in MARS , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[140]  George W. Furnas,et al.  Pictures of relevance: A geometric analysis of similarity measures , 1987, J. Am. Soc. Inf. Sci..

[141]  Christopher Chute,et al.  The Diverse and Exploding Digital Universe , 2011 .

[142]  Alex Smola,et al.  Kernel methods in machine learning , 2007, math/0701907.

[143]  A. Tversky Features of Similarity , 1977 .

[144]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[145]  Karsten Berns,et al.  Probabilistic distance measures of the Dirichlet and Beta distributions , 2008, Pattern Recognit..

[146]  Donald J. Berndt,et al.  Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.

[147]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .

[148]  Sheldon M. Ross,et al.  Introduction to probability models , 1975 .

[149]  Hans-Peter Kriegel,et al.  Generalizing the Optimality of Multi-step k -Nearest Neighbor Query Processing , 2007, SSTD.

[150]  Thomas Seidl,et al.  L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases , 2011, MMM.

[151]  Hanan Samet,et al.  Foundations of multidimensional and metric data structures , 2006, Morgan Kaufmann series in data management systems.

[152]  Hans-Peter Kriegel,et al.  Optimal multi-step k-nearest neighbor search , 1998, SIGMOD '98.

[153]  Nicu Sebe,et al.  Content-based multimedia information retrieval: State of the art and challenges , 2006, TOMCCAP.

[154]  Jakub Lokoc,et al.  Ptolemaic indexing of the signature quadratic form distance , 2011, SISAP.

[155]  F. Hausdorff Grundzüge der Mengenlehre , 1914 .

[156]  Václav Snásel,et al.  Nearest Neighbours Search Using the PM-Tree , 2005, DASFAA.

[157]  Josef Kittler,et al.  Pattern recognition : a statistical approach , 1982 .

[158]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[159]  Sébastien Marcel,et al.  Gestures for Multi-Modal Interfaces: A Review , 2002 .

[160]  Thomas Seidl,et al.  Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken , 2009, BTW.

[161]  Sameer A. Nene,et al.  Columbia Object Image Library (COIL100) , 1996 .

[162]  Rama Chellappa,et al.  From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel Hilbert space , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[163]  Shiri Gordon,et al.  An efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[164]  King-Sun Fu,et al.  Error estimation in pattern recognition via LAlpha -distance between posterior density functions , 1976, IEEE Trans. Inf. Theory.

[165]  R. Shepard,et al.  Toward a universal law of generalization for psychological science. , 1987, Science.

[166]  Tony Lindeberg,et al.  Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.

[167]  Thomas Seidl,et al.  On stability of signature-based similarity measures for content-based image retrieval , 2012, Multimedia Tools and Applications.

[168]  M. Basseville Distance measures for signal processing and pattern recognition , 1989 .

[169]  James Lee Hafner,et al.  Efficient Color Histogram Indexing for Quadratic Form Distance Functions , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[170]  W. R. Buckland,et al.  Distributions in Statistics: Continuous Multivariate Distributions , 1973 .

[171]  L. Kantorovitch,et al.  On the Translocation of Masses , 1958 .

[172]  James Ze Wang,et al.  Image retrieval: Ideas, influences, and trends of the new age , 2008, CSUR.

[173]  Cordelia Schmid,et al.  A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..

[174]  Thomas Seidl,et al.  Indexing the signature quadratic form distance for efficient content-based multimedia retrieval , 2011, ICMR.

[175]  Gonzalo Navarro,et al.  Analyzing Metric Space Indexes: What For? , 2009, 2009 Second International Workshop on Similarity Search and Applications.

[176]  Hans-Peter Kriegel,et al.  Improving Adaptable Similarity Query Processing by Using Approximations , 1998, VLDB.

[177]  G. Fasshauer Positive definite kernels: past, present and future , 2011 .

[178]  Michael I. Jordan,et al.  An Introduction to Variational Methods for Graphical Models , 1999, Machine-mediated learning.

[179]  Azriel Rosenfeld,et al.  A distance metric for multidimensional histograms , 1985, Comput. Vis. Graph. Image Process..

[180]  Beng Chin Ooi,et al.  iDistance: An adaptive B+-tree based indexing method for nearest neighbor search , 2005, TODS.

[181]  Bart Thomee,et al.  New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative , 2010, MIR '10.

[182]  Wei Li,et al.  A DTW-based dissimilarity measure for left-to-right hidden Markov models and its application to word confusability analysis , 2006, INTERSPEECH.

[183]  B. Schölkopf,et al.  Similarity, Kernels, and the Triangle Inequality , 2008 .

[184]  Zi Huang,et al.  Dissimilarity measures for content-based image retrieval , 2008, 2008 IEEE International Conference on Multimedia and Expo.

[185]  Christos Faloutsos,et al.  Efficient Similarity Search In Sequence Databases , 1993, FODO.

[186]  Thomas Seidl,et al.  Analyzing the inner workings of the Signature Quadratic Form Distance , 2011, 2011 IEEE International Conference on Multimedia and Expo.

[187]  L. Kantorovich On the Translocation of Masses , 2006 .

[188]  C. R. Rao,et al.  Cross entropy, dissimilarity measures, and characterizations of quadratic entropy , 1985, IEEE Trans. Inf. Theory.

[189]  Mark J. Huiskes,et al.  The MIR flickr retrieval evaluation , 2008, MIR '08.

[190]  William Rucklidge,et al.  Efficiently Locating Objects Using the Hausdorff Distance , 1997, International Journal of Computer Vision.

[191]  H. Chernoff A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations , 1952 .

[192]  F. Gregory Ashby,et al.  Toward a Unified Theory of Similarity and Recognition , 1988 .

[193]  W. James,et al.  The Principles of Psychology. , 1983 .

[194]  Hideyuki Tamura,et al.  Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[195]  Thomas Seidl,et al.  Parameterized earth mover's distance for efficient metric space indexing , 2011, SISAP.

[196]  Ricardo A. Baeza-Yates,et al.  Searching in metric spaces , 2001, CSUR.

[197]  Peter J. Bickel,et al.  The Earth Mover's distance is the Mallows distance: some insights from statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[198]  Nozha Boujemaa,et al.  Conditionally Positive Definite Kernels for SVM Based Image Recognition , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[199]  G. Mitra Introduction to Linear Programming , 1974 .