Search Results - "Kivinen, J."

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  1. 1

    Millimeter-Wave Propagation Channel Characterization for Short-Range Wireless Communications by Suiyan Geng, Kivinen, J., Xiongwen Zhao, Vainikainen, P.

    Published in IEEE transactions on vehicular technology (01-01-2009)
    “…This paper presents and analyzes the results of millimeter-wave 60-GHz frequency range propagation channel measurements that are performed in various indoor…”
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    Journal Article
  2. 2

    Online learning with kernels by Kivinen, J., Smola, A.J., Williamson, R.C.

    Published in IEEE transactions on signal processing (01-08-2004)
    “…Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data…”
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    Journal Article
  3. 3

    BerryPI: A software for studying polarization of crystalline solids with WIEN2k density functional all-electron package by Ahmed, S.J., Kivinen, J., Zaporzan, B., Curiel, L., Pichardo, S., Rubel, O.

    Published in Computer physics communications (01-03-2013)
    “…We present a module that enables computation of polarization using density functional theory based on the full potential linearized augmented plane wave…”
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    Journal Article
  4. 4

    60-GHz Wideband Radio Channel Sounder by Kivinen, J.

    “…This paper describes a developed wideband millimeter-wave radio channel sounder, which is based on the previously developed 2- and 5-GHz channel-sounder…”
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    Journal Article
  5. 5

    Suitability of a tumour-mimicking material for the evaluation of high-intensity focused ultrasound ablation under magnetic resonance guidance by Pichardo, S, Kivinen, J, Melodelima, D, Curiel, L

    Published in Physics in medicine & biology (07-04-2013)
    “…This study tests the suitability of a tumour-mimic for targeting magnetic resonance (MR)-guided high-intensity focused ultrasound (HIFU). An agarose-based…”
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    Journal Article
  6. 6

    The p-norm generalization of the LMS algorithm for adaptive filtering by Kivinen, J., Warmuth, M.K., Hassibi, B.

    Published in IEEE transactions on signal processing (01-05-2006)
    “…Recently much work has been done analyzing online machine learning algorithms in a worst case setting, where no probabilistic assumptions are made about the…”
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    Journal Article
  7. 7

    Comparison of MIMO antenna configurations in picocell and microcell environments by Sulonen, K., Suvikunnas, P., Vuokko, L., Kivinen, J., Vainikainen, P.

    “…This paper presents the results achieved with a dual-polarized multiple-input multiple-output (MIMO) measurement system in the 2 GHz range. Results from…”
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    Journal Article
  8. 8

    Characterization of Doppler spectra for mobile communications at 5.3 GHz by Xiongwen Zhao, Kivinen, J., Vainikainen, P., Skog, K.

    Published in IEEE transactions on vehicular technology (01-01-2003)
    “…Tapped-delay-line (TDL) channel models are developed from a measured database for outdoor and indoor mobile communications at 5.3 GHz. Meanwhile, several types…”
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    Journal Article
  9. 9

    Propagation characteristics for wideband outdoor mobile communications at 5.3 GHz by Xiongwen Zhao, Kivinen, J., Vainikainen, P., Skog, K.

    “…In this paper, empirical channel models and parameters are derived from the wideband measured data at 5.3 GHz in outdoor mobile communications. The path loss…”
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    Journal Article
  10. 10

    Comparison of MIMO Antenna Configurations: Methods and Experimental Results by Suvikunnas, P., Salo, J., Vuokko, L., Kivinen, J., Sulonen, K., Vainikainen, P.

    Published in IEEE transactions on vehicular technology (01-03-2008)
    “…In this paper, the methods for comparing multipleinput-multiple-output (MIMO) antenna configurations using measured radio channels are considered. The…”
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    Journal Article
  11. 11
  12. 12

    Relative Loss Bounds for Multidimensional Regression Problems by Kivinen, J, Warmuth, M K

    Published in Machine learning (01-12-2001)
    “…We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at…”
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    Journal Article
  13. 13

    Millimeter-Wave MIMO Radio Channel Sounder by Ranvier, S., Kivinen, J., Vainikainen, P.

    “…Nowadays, the need for high-data-rate-communication channels is increasing and will ineluctably continue to increase in the future. From a theoretical point of…”
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    Journal Article
  14. 14

    Empirical characterization of wideband indoor radio channel at 5.3 GHz by Kivinen, J., Xiongwen Zhao, Vainikainen, P.

    “…Characteristics of wideband indoor radio channel at 5.3 GHz were defined based on an extensive measurement campaign using a wideband channel sounder with 19 ns…”
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    Journal Article
  15. 15

    5.3-GHz MIMO radio channel sounder by Kolmonen, V.-M., Kivinen, J., Vuokko, L., Vainikainen, P.

    “…A radiowave propagation measurement system for wideband multichannel multiple-input-multiple-output (MIMO) measurements at 5.3 GHz is presented. The MIMO…”
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    Journal Article
  16. 16

    Sequential prediction of individual sequences under general loss functions by Haussler, D., Kivinen, J., Warmuth, M.K.

    Published in IEEE transactions on information theory (01-09-1998)
    “…We consider adaptive sequential prediction of arbitrary binary sequences when the performance is evaluated using a general loss function. The goal is to…”
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    Journal Article
  17. 17

    Wideband radio channel measurement system at 2 GHz by Kivinen, J., Korhonen, T.O., Aikio, P., Gruber, R., Vainikainen, P., Haggman, S.-G.

    “…This paper describes the wideband radio channel sounding techniques for mobile radio channel measurements. Implementation of the cross-correlation method using…”
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    Journal Article
  18. 18

    The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevant by Kivinen, J., Warmuth, M.K., Auer, P.

    Published in Artificial intelligence (01-12-1997)
    “…We give an adversary strategy that forces the Perceptron algorithm to make Ω( kN) mistakes in learning monotone disjunctions over N variables with at most k…”
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    Journal Article
  19. 19

    Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes by Kivinen, J.J., Sudderth, E.B., Jordan, M.I.

    “…We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet…”
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    Conference Proceeding
  20. 20

    Calibration scheme for synthesizer phase fluctuations in virtual antenna array measurements by Kivinen, J., Vainikainen, P.

    Published in Microwave and optical technology letters (05-08-2000)
    “…A calibration scheme is presented for synthesizer phase fluctuations in virtual antenna array measurements for wideband mobile radio channel sounding. The…”
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    Journal Article