machine learning and statistical techniques

... models, and how they are used in the core of the landmark learning and recognition system, is described It is followed by introducing how to learn new landmark’s parameters; after that, the landmark ... illumination, distances and view angles to the landmarks Machine learning techniques are being applied with remarkable success to several problems of computer vision and perception [45] Most ... for big public and industrial buildings (factories, stores), and outdoor environments with well-defined landmarks such as streets and roads Fabrication of space-variant sensor and implementation...

Ngày tải lên: 28/03/2014, 14:20

... 593 Manni, Franz, 645 March, Nicolas, 439 Marinho, Leandro B., 533 Mehler, Alexander, 653 Meinl, Thorsten, 319 Meißner, Martin, 447 Merkel, Andreas, 553 Messaoud, Amor, 455 Meyer, David, 389 Meyer-Delius, ... Rosaria, 687 Rousson, Valentin, 209 Ruhland, Johannes, 327 Najman Migda , Kamila, 45 Najman, Krzysztof, 45 Naumann, Sven, 637 Nerbonne, John, 645 Neumann, Andreas W., 541 Nunkesser, Robin, 277 ... Klaus B., 515 Schettlinger, Karen, 277 Schierle, Martin, 397 Schiffner, Julia, 69 Schliep, Alexander, 119 Schmidt-Thieme, Lars, 171, 525, 533 Scholz, Sören W., 447 Schröder, Jan, 355 Schulz,...

Ngày tải lên: 05/08/2014, 21:21

... (Eds.) Data Analysis, Machine Learning and Applications 2008 Christine Preisach · Hans Burkhardt Lars Schmidt-Thieme · Reinhold Decker (Editors) Data Analysis, Machine Learning and Applications Proceedings ... methods and applications of data analysis and machine learning were considered The following sessions were established: I Theory and Methods Supervised Classification, Discrimination, and Pattern ... Representation and Knowledge Discovery (A Ultsch); Statistical Relational Learning (H Blockeel and K Kersting); Online Algorithms and Data Streams (C Sohler); Analysis of Time Series, Longitudinal and Panel...

Ngày tải lên: 05/08/2014, 21:21

... B and BURKHARDT, H (2007): Invariant kernels for pattern analysis and machine learning Machine Learning, 68, 35–61 SCHÖLKOPF, B and SMOLA, A J (2002): Learning with Kernels: Support Vector Machines, ... recognition and machine learning communities due to the modularity of the algorithms and the data representations by kernel functions, cf (Schölkopf and Smola (2002)) and (Shawe-Taylor and Cristianini ... Distributions 1, Models and Applications, 2nd edition John Wiley & Sons, New York NEWMAN, D.J and HETTICH, S and BLAKE, C.L and MERZ, C.J (1998): UCI Repository of machine learning databases [http://www.ics.uci.edu/∼learn/...

Ngày tải lên: 05/08/2014, 21:21

... latest machine learning methods to be introduced is the Support Vector Machine (SVM) It has become very widespread due to its firm grounds in statistical learning theory (Vapnik (1998)) and its ... compute the gradients C L and L of the loss function LC, (x, y) of a single randomly chosen element (x, y) of the L with small learning training set and replace C by C − C C L and by − rates C > 10 ... into training and test sets and normalized to minimum and maximum feature values (Min-Max) or standard deviation (Std-Dev) These experiments were run on a computer with a P4, 2.8 GHz and 1G in Ram...

Ngày tải lên: 05/08/2014, 21:21

... Multiple Statistical Classifiers 27 HANSEN, L.K and SALAMON, P (1990): Neural network ensembles IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 993–1001 HUANG, Y.S and SUEN, ... Machine Learning: Proceedings of the Thirteenth International Conference, Morgan Kaufmann, 275- 283 KUNCHEVA, L and WHITAKER, C (2003): Measures of diversity in classifier ensembles, Machine Learning, ... experts for the recognition of unconstrained handwritten numerals, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17, 90-93 KOHAVI, R and WOLPERT, D.H (1996): Bias plus variance...

Ngày tải lên: 05/08/2014, 21:21

... elements and row all ˜ column sums all one, and the {Ck } and {Cl } denote the classes of the first and second ˜ respectively The LSAP can be solved efficiently in polynomial partition P and P, time ... S., MOONEY, R.J (2004): Integrating Constraints and Metric Learning in Semi-Supervised Clustering In: Proc 21st International Conference on Machine Learning (ICML 2004) Banff, Canada, 81-88 KOHONEN, ... give bounds for bh and the number vh of hidden vertices, and refer to Bradley (2006) for the combinatorial proofs (Theorems 8.3 and 8.5) Theorem 6.1 Let D ∈ Dn Then vh ≤ n + − bh and bh ≤ n−4 ,...

Ngày tải lên: 05/08/2014, 21:21

... Hard and Soft Euclidean Consensus Partitions grandfather grandmother granddaughter grandson brother sister father mother daughter son nephew ... results and open problems In: H H Bock, editor, Classification and related methods of data analysis North-Holland, Amsterdam, 309–316 BOORMAN, S A and ARABIE, P (1972): Structural measures and the ... Stochastic Models and Data Analysis, 4, 273–282 154 Kurt Hornik and Walter Böhm GORDON, A D and VICHI, M (1998): Partitions of partitions Journal of Classification, 15, 265–285 GORDON, A D and VICHI,...

Ngày tải lên: 05/08/2014, 21:21

... to thank Robert Moyzis and James Swanson (both UC Irvine) for making available the genotype and phenotype data respectively and the German Academic Exchange Service (DAAD) and Martin Vingron for ... Stalactite plots and robust estimation for the detection of multivariate outliers In: E Ronchetti, E Morgenthaler, and W Stahel (Eds.): New Directions in Statistical Data Analysis and Robustenss., ... Royal Statistical Society B, 56, 363–375 118 Marco Di Zio and Ugo Guarnera DI ZIO, M., GUARNERA, U and LUZI, O (2007): Imputation through finite Gaussian mixture models Computational Statistics and...

Ngày tải lên: 05/08/2014, 21:21

... among the set of rows, of columns and the relations between both sets Also cite the non symmetrical analysis (D’ Ambra and Lauro (1984) and Lauro and D’ Ambra (1989)) and more recently the Multiple ... BANFIELD, J D and RAFTERY, A E (1993): Model-Based Gaussian and Non-Gaussian Clustering Biometrics, 49, 803–821 138 Christian Hennig and Pietro Coretto CAMPBELL, N A (1984): Mixture models and atypical ... regression models After presenting data and objectives (section 2) we outline methodology and results (section 3) and finally give some conclusions (section 4) Data and objectives The University of the...

Ngày tải lên: 05/08/2014, 21:21

... Republic, Denmark, Finland, France, Germany, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Sweden and United Kingdom The scientific fields in which they are studying are: Social and Legal Sciences, ... Social and Legal Sciences Area have a different behavior The Netherlands and Ireland are selected as destiny country by males and females but males also go to Belgium, the United Kingdom and Italy ... Vanacore and Jean-Francçois Durand limits (Wu and Wang, 1997; Jones and Woodall, 1998; Liu and Tang, 1996) has been followed Multivariate control charts based on projection methods A standard multivariate...

Ngày tải lên: 05/08/2014, 21:21

... Proceedings of the Matlab DSP Conference 1999 Espoo, Finland,35–40 WITTEN, I H and FRANK, E (2005): Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition Morgan Kaufmann, San Francisco, ... be exported in the Weka machine learning environment (Witten and Frank, 2005) 266 Olivier Lartillot, Petri Toiviainen and Tuomas Eerola Application to the study of music and emotion The toolbox ... 96,10 96,10 81,90 90,40 91,00 90,50 Note: TCCS, POLCOURT and SCSCIENCE stand for “Teacher, Clerck and Civil Servant”, “Politics & Court” and “Scolarship & Science”, respectively Axis5 0,00 0,00...

Ngày tải lên: 05/08/2014, 21:21

... similar to insertions into and deletions from Y Deletion of element xdel Search in X for xdel and determine its rank i and the elements bs and bg pointed at Determine y( j) and y( ) with the help ... medians from the two time windows, and ˆ t− and ˆ t+ be the scale estimate for the left and the right window of possibly different widths h and k An asymptotically standard normal test statistic in ... Conference on Machine Learning JEFFREYS, H (1961): Theory of Probability (3rd ed.) Oxford University Press KASS, R and RAFTERY, E (1995): Bayes Factors Journal of the American Statistical Association,...

Ngày tải lên: 05/08/2014, 21:21

... conduct the Wald test for and : W = ˆ / ˆ and W = ˆ / ˆ , where ˆ and ˆ are the estimates of the general model under consideration, and ˆ and ˆ are the estimated standard errors thereof Note ... the Apriori scheme of candidate generation and support evaluation Therefore FSMSet consists of two steps: generation of candidate sets and support evaluation of these candidates These two steps ... the state machine The second temporal interval carries again the label A and can only be accepted by Sa () and Sb () The third temporal interval has label B and can be accepted by Sc () and Sd ()...

Ngày tải lên: 05/08/2014, 21:21

... customers and their visits (approx 150,000) and a survey on customer satisfaction Common (and thus potential matching) variables are first and last name, sex, age group, country, region, and five ... neighbourhood by region, age group, and sex reduces the list of candidate pairs to 1,024, and blocking by Soundex code of last name retains only 83 candidates > candidates(data1=d1.prep, data2=d2.prep, ... vector machines (SVM) and model-based discriminant analysis (MclustDA, MDA) Introduction Hyper-spectral images consist of several, up to hundred, images acquired at different - mostly narrow band and...

Ngày tải lên: 05/08/2014, 21:21

... mining software for research and education, www.eric.univ-lyon2.fr/∼rico/tanagra/ WITTEN, I.H and FRANK, E (2005): Data Mining: Practical machine learning tools and techniques, Morgan Kaufmann, ... rpart (Therneau and Atkinson, 1997) while the open-source implementation J4.8 for C4.5 became available more recently in the Weka machine learning package (Witten and Frank, 2005) and is now accessible ... direction and further steps will require a larger study with additional datasets and learning algorithms References BREIMAN, L., FRIEDMAN, J., OLSHEN, R and STONE, C (1984): Classification and Regression...

Ngày tải lên: 05/08/2014, 21:21

... Boston, MA GOLDING, A R., and ROTH, D (1999): A Winnow based approach to context-sensitive spelling correction Machine Learning 34(1-3):107-130 Special Issue on Machine Learning and Natural Language ... calculated and the most likely word is applied A more detailed introduction into context-based spelling correction can be found in Golding and Roth (1995), Golding and Roth (1999) and Al-Mubaid and ... recognition techniques and word splitting and merging capabilities to our approach Linguistics and context sensitivity This section gives a brief introduction into underlying correction techniques...

Ngày tải lên: 05/08/2014, 21:21

... v.eid = e.eid and e.learner_inst = li.liid and li.lid = l.lid and l.name='A' and lv.liid=li.liid and lv.pid = lp.pid and lp name='P' and e.data_inst = di.diid and di.did = d.did and d.name='D' ... learning and to validate and refine existing results We believe this database and underlying software may become a valuable resource for research in classification and, more broadly, machine learning and ... such as WEKA (Witten and Frank (2005)) for machine learning and data mining, the R environment (R Development core team (2007)) for statistical computations and graphics, and JFreeChart (Gilbert...

Ngày tải lên: 05/08/2014, 21:21