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Nonlinear dimensionality reduction as information retrieval

Nonlinear dimensionality reduction as information retrieval

引用

11th International Conference on Artificial Intelligence and Statistics, AISTATS 2007

作者： Venna, Jarkko Kaski, Samuel Helsinki Institute for Information Technology Laboratory of Computer and Information Science Helsinki University of Technology P.O. Box 5400 FI-02015 TKK Finland

Nonlinear dimensionality reduction has so far been treated either as a data representation p.o.lem or as a search for a lower-dimensional manifold embedded in the data space. A main application for both is in information visualization, to make visible the neighborhood or p.o.imity relationships in the data, but neither app.o.ch has been designed to optimize this task. We give such visualization a new conceptualization as an information retrieval p.o.lem;a p.o.ection is good if neighbors of data points can be retrieved well based on the visualized p.o.ected points. This makes it possible to rigorously quantify goodness in terms of precision and recall. A method is introduced to optimize retrieval quality;it turns out to be an extension of Stochastic Neighbor Embedding, one of the earlier nonlinear p.o.ection methods, for which we give a new interpretation: it optimizes recall. The new method is shown empirically to outperform existing dimensionality reduction methods.

关键词： information retrieval

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order in complex systems of nonlinear oscillators: phase locked subspaces

Order in complex systems of nonlinear oscillators: Phase loc...

引用

15th European Symposium on Artificial Neural Networks, ESANN 2007

作者： Schleimer, Jan-Hendrik Vigário, Ricaro Helsinki University of Technology Laboratory of Computer and Information Science P.O. Box 5400 FI-02015 HUT Finland

ISBN: (纸本)2930307099

Any order parameter quantifying the degree of organisation in a physical system can be studied in connection to source extraction algorithms. Independent component analysis (ICA) by minimising the mutual information of the sources falls into that line of thought, since it can be interpreted as searching components with low complexity. Complexity pursuit, a modification minimising Kolmogorov complexity, is a further example. In this article a specific case of order in complex networks of self- sustained oscillators is discussed, with the objective of recovering original synchronisation pattern between them. The app.o.ch is put in relation with ICA.

关键词： Independent component analysis

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Failure detection and separation in SoM based decision sup.o.t

Failure detection and separation in SOM based decision suppo...

引用

6th Int. Workshop.o. Self-organizing Maps, WSoM 2007

作者： Sirola, M. Lampi, G. parviainen, J. Helsinki University of Technology Laboratory of Computer and Information Science P.O. Box 5400 Fin-02015 TKK Finland

Failure management in p.o.ess industry has difficult tasks. Decision sup.o.t in control rooms of nuclear power plants is needed. A p.o.otype that uses Self-organizing Map (SoM) method is under development in an industrial p.o.ect. This paper has focus on failure detection and separation. A literature survey outlines the state-of-the-art and reflects our study to related works. Different SoM visualizations are used. Failure management scenarios are carried out to experiment the methodology and the Man-Machine Interface (MMI). U-matrix trajectory analysis and quantization error are discussed more in detail. The experiments show the usefulness of the chosen app.o.ch. Next step will be to add more practical views by analyzing real and simulated industrial data with the control room tool and by feedback from the end users.

关键词： Self organizing maps

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Fast semi-supervised discriminative component analysis

Fast semi-supervised discriminative component analysis

引用

17th IEEE International Workshop.o. Machine Learning for Signal p.o.essing, MLSp-2007

作者： peltonen, Jaakko Goldberger, Jacob Kaski, Samuel Helsinki University of Technology Laboratory of Computer and Information Science Helsinki Institute for Information Technology P.O. Box 5400 FI-02015 TKK Finland Bar-Ilan University School of Engineering Ramat-Gan 52900 Israel

ISBN: (纸本)1424415667

We introduce a method that learns a class-discriminative subspace or discriminative components of data. Such a subspace is useful for visualization, dimensionality reduction, feature extraction, and for learning a regularized distance metric. We learn the subspace by optimizing a p.o.abilistic semiparametric model, a mixture of Gaussians, of classes in the subspace. The semiparametric modeling leads to fast computation (o(N) for N samples) in each iteration of optimization, in contrast to recent nonparametric methods that take o(N2) time, but with equal accuracy. Moreover, we learn the subspace in a semi-supervised manner from three kinds of data: labeled and unlabeled samples, and unlabeled samples with pairwise constraints, with a unified objective. © 2007 IEEE.

关键词： Iterative methods

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information retrieval by inferring implicit queries from eye movements

Information retrieval by inferring implicit queries from eye...

引用

11th International Conference on Artificial Intelligence and Statistics, AISTATS 2007

作者： Hardoon, David R. Shawe-Taylor, John Ajanki, Antti p.o.amäki, Kai Kaski, Samuel Computer Science Dept. University College London Gower Street London WC1E 6BT United Kingdom Helsinki Institute for Information Technology Laboratory of Computer and Information Science Helsinki University of Technology P.O. Box 5400 FI-02015 TKK Finland

We introduce a new search strategy, in which the information retrieval (IR) query is inferred from eye movements measured when the user is reading text during an IR task. In training phase, we know the users' interest, that is, the relevance of training documents. We learn a predictor that p.o.uces a "query" given the eye movements;the target of learning is an "optimal" query that is computed based on the known relevance of the training documents. Assuming the predictor is universal with respect to the users' interests, it can also be applied to infer the implicit query when we have no prior knowledge of the users' interests. The result of an empirical study is that it is possible to learn the implicit query from a small set of read documents, such that relevance predictions for a large set of unseen documents are ranked significantly better than by random guessing.

关键词： Eye movements

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Measures of topological relevance based on the Self-organizing Map: Applications to p.o.ess monitoring from spectroscopic measurements

Measures of topological relevance based on the Self-Organizi...

引用

10th International Conference on Engineering Applications of Neural Networks, EANN 2007

作者： Corona, Francesco Liitiäinen, Elia Lendasse, Amaury Baratti, Roberto Helsinki University of Technology Lab. of Computer and Information Science P.O. Box 5400 FI-02015 Helsinki Finland University of Cagliari Dept. of Chemical Engineering and Materials P.zza D'Armi 1 I-09123 Cagliari Italy Department of Chemical Engineering and Materials University of Cagliari Italy

In this work, the p.o.lem of real-time monitoring of p.o.ucts' p.o.erties from spectrop.o.oscopic measurements is presented. Light absorbance spectra are used as inputs to soft sensors that estimate outputs otherwise difficult to measure on-line. To overcome the issues associated to calibrating the estimation models from very highdimensional inputs and a reduced number of observations, we p.o.ose to select only a subset of relevant inputs emerging from the topological structure of the data. The topologically preserving representation is performed using the Self-organizing Map (SoM) and the relevance measured from the U-matrices. Being based on a selection of original spectral variables, the resulting models retain the chemical interpretability of the underlying system. Moreover, the app.o.ch is independent on the regression model to be embedded in the soft sensors. In this paper, the utility of the Measures of Topological Relevance (MTR) over the SoM is discussed on two full-scale p.o.lems from refining and pharmaceutical industry.

关键词： Self organizing maps

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Nearest neighbor distributions and noise variance estimation

Nearest neighbor distributions and noise variance estimation

引用

15th European Symposium on Artificial Neural Networks, ESANN 2007

作者： Liitïainen, Elia Corona, Francesco Lendasse, Amaury Helsinki University of Technology Lab. of Computer and Information Science P.O. Box 5400 FI-2015 HUT - Espoo Finland Universita di Cagliari Dept. of Chemical Engineering and Materials Piazza d'Armi 1 I-9123 - Cagliari Italy

ISBN: (纸本)2930307099

In this paper, we address the p.o.lem of deriving bounds for the moments of nearest neighbor distributions. The bounds are formulated for the general case and specifically applied to the p.o.lem of noise variance estimation with the Delta test and the Gamma test. For this p.o.lem, we focus on the rate of convergence and the bias of the estimators and validate the theoretical achievements with experimental results.

关键词： Spurious signal noise

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Safeguarding Against Sybil Attacks via Social Networks and Multipath Routing

Safeguarding Against Sybil Attacks via Social Networks and M...

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International Conference on Communications and Networking in China (CHINACoM)

作者： Chittaranjan Hota M.S.V Srikanth Antti Yla-Jaaski Janne Lindqvist K. Kristiina Computer Science and Information Systems Group Birla Institute of Technology and Science Pilani Pilani Rajasthan INDIA Birla Institute of Technology and Science Pilani Rajasthan IN Telecommunications Software & Multimedia Laboratory Helsinki University of Technology Helsinki FINLAND Telecommunications Software & Multimedia Laboratory Helsinki University of Technology TKK P.O. Box 5400 Helsinki FINLAND. kk@tml.hut.fi

peer-to-peer (p2p) overlay networks are currently being used to build large scale distributed systems running various decentralized applications like distributed storage, content distribution, collaborative scheduling, and leader election. Although we have p.o.ocols like Byzantine agreement, voting schemes etc. for building resilient distributed applications; we have very few solutions available for safeguarding these distributed p.o.ocols from Sybil attacks. In a Sybil attack, an adversary could forge multiple identities and create multiple, distinct nodes in the system hence overthrowing any upper bound on number of malicious nodes in these p.o.ocols. In this paper, we present a multipath routing p.o.ocol using graph theoretic app.o.ch to group the Sybil nodes first and then to poll them using host identity p.o.ocol (HIp) to decide upon whether they really belong to a Sybil group. HIp clearly separates participating users from overlay nodes. It overcomes p2p network challenges like stability over time and identity differentiation. We also use a social network where the attack edges are minimum. An attack edge between a malicious user and an honest user indicates that the malicious user is able to establish a trust relationship with the honest user by some means. We perform simulations to show the feasibility of our distributed p.o.ocol.

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Hierarchical analysis of GSM network performance data 14

Hierarchical analysis of GSM network performance data

引用

14th European Symposium on Artificial Neural Networks, ESANN 2006

作者： Multanen, Mikko Raivio, Kimmo Lehtimäki, pasi Helsinki University of Technology Laboratory of Computer and Information Science HUT P.O. Box 5400 FI-02015 Finland

ISBN: (纸本)2930307064

In this study, a method for hierarchical examination and visualization of GSM data using the Self-organizing Map (SoM) is described. The data is examined in few phases. At first temporally averaged data is used and then, in each phase some of the data is discarded and the rest is examined in more detail. The SoM is used both in clustering and in visualization. The actual clustering is performed to the nodes of the SoM to lower the computational cost and to help to understand better the p.o.erties of the clusters. © 2006 *** publication. All rights reserved.

关键词： Self organizing maps

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Independent dynamics subspace analysis 14

Independent dynamics subspace analysis

引用

14th European Symposium on Artificial Neural Networks, ESANN 2006

作者： Ilin, Alexander Helsinki University of Technology - Lab. of Computer and Information Science P.O. Box 5400 TKK EspooFI-02015 Finland

ISBN: (纸本)2930307064

The paper presents an algorithm for identifying the independent subspace analysis model based on source dynamics. We p.o.ose to separate subspaces by decoupling their dynamic models. Each subspace is extracted by minimizing the prediction error given by a first-order nonlinear autoregressive model. The learning rules are derived from a cost function and implemented in the framework of denoising source separation. © 2006 *** publication. All rights reserved.

关键词： Cost functions

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