Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Paul M.
    Last name: Baggenstoss
    DBLP: 99/6375
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 39  
    Select a publication
    Show Title Venue Rating Date
    Conference paper
    Paul M. Baggenstoss.
    Uniform Manifold Sampling (UMS): Sampling the Maximum Entropy PDF.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Paul M. Baggenstoss, Kevin Wilkinghoff, Frank Kurth.
    Glottal mixture model (GLOMM) for speaker identification on telephone channels.
    25th European Signal Processing Conference, EUSIPCO 2017, Kos, Greece, August 28 - September 2, 2017 2017 (0) 2017
    Conference paper
    Paul M. Baggenstoss.
    Evaluating the RBM without integration using PDF projection.
    25th European Signal Processing Conference, EUSIPCO 2017, Kos, Greece, August 28 - September 2, 2017 2017 (0) 2017
    Conference paper
    Bo Tang, Paul M. Baggenstoss, Haibo He.
    Kernel-based generative learning in distortion feature space.
    2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017 2017 (0) 2017
    Conference paper
    Bo Tang, Haibo He, Paul M. Baggenstoss, Steven Kay.
    A Bayesian Classification Approach Using Class-Specific Features for Text Categorization.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Journal article
    Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss.
    EEF: Exponentially Embedded Families with Class-Specific Features for Classification.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss.
    EEF: Exponentially Embedded Families With Class-Specific Features for Classification.
    IEEE Signal Process. Lett. 2016, Volume 23 (0) 2016
    Conference paper
    Bo Tang, Paul M. Baggenstoss, Haibo He.
    Kernel-based Generative Learning in Distortion Feature Space.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Paul M. Baggenstoss.
    Maximum entropy feature fusion.
    19th International Conference on Information Fusion, FUSION 2016, Heidelberg, Germany, July 5-8, 2016 2016 (0) 2016
    Conference paper
    Paul M. Baggenstoss, Brian F. Harrison.
    Class-specific model mixtures for the classification of acoustic time series.
    IEEE Trans. Aerospace and Electronic Systems 2016, Volume 52 (0) 2016
    Conference paper
    Paul M. Baggenstoss.
    Combining the glottal mixture model (GLOMM) with UBM for speaker recognition.
    24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, August 29 - September 2, 2016 2016 (0) 2016
    Journal article
    Satish Madhogaria, Paul M. Baggenstoss, Marek Schikora, Wolfgang Koch, Daniel Cremers.
    Car detection by fusion of HOG and causal MRF.
    IEEE Trans. Aerospace and Electronic Systems 2015, Volume 51 (0) 2015
    Conference paper
    Paul M. Baggenstoss.
    Maximum Entropy PDF Design Using Feature Density Constraints: Applications in Signal Processing.
    IEEE Transactions on Signal Processing 2015, Volume 63 (0) 2015
    Conference paper
    Paul M. Baggenstoss.
    Derivative-augmented features as a dynamic model for time-series.
    23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, August 31 - September 4, 2015 2015 (0) 2015
    Conference paper
    Paul M. Baggenstoss.
    Class-specific model mixtures for the classification of time-series.
    23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, August 31 - September 4, 2015 2015 (0) 2015
    Conference paper
    Paul M. Baggenstoss.
    Optimal Detection and Classification of Diverse Short-duration Signals.
    2014 IEEE International Conference on Cloud Engineering, Boston, MA, USA, March 11-14, 2014 2014 (0) 2014
    Journal article
    Paul M. Baggenstoss.
    Recursive Decimation/Interpolation for ML Chirp Parameter Estimation.
    IEEE Trans. Aerospace and Electronic Systems 2014, Volume 50 (0) 2014
    Conference paper
    Paul M. Baggenstoss.
    Specular Decomposition of Active Sonar Returns using Combined Waveforms.
    IEEE Trans. Aerospace and Electronic Systems 2013, Volume 49 (0) 2013
    Conference paper
    Paul M. Baggenstoss.
    On the Equivalence of Hanning-Weighted and Overlapped Analysis Windows Using Different Window Sizes.
    IEEE Signal Process. Lett. 2012, Volume 19 (0) 2012
    Conference paper
    Paul M. Baggenstoss.
    Two-Dimensional Hidden Markov Model for Classification of Continuous-Valued Noisy Vector Fields.
    IEEE Trans. Aerospace and Electronic Systems 2011, Volume 47 (0) 2011
    Journal article
    Paul M. Baggenstoss.
    A multi-resolution hidden Markov model using class-specific features.
    IEEE Transactions on Signal Processing 2010, Volume 58 (0) 2010
    Conference paper
    Virginia Estellers, Paul M. Baggenstoss, Jean-Philippe Thiran.
    Class-specific classifiers in audio-visual speech recognition.
    18th European Signal Processing Conference, EUSIPCO 2010, Aalborg, Denmark, August 23-27, 2010 2010 (0) 2010
    Conference paper
    Paul M. Baggenstoss.
    A multi-resolution hidden Markov model using class-specific features.
    2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008 2008 (0) 2008
    Conference paper
    Paul M. Baggenstoss.
    Iterated class-specific subspaces for speaker-dependent phoneme classification.
    2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008 2008 (0) 2008
    Conference paper
    Thomas Beierholm, Paul M. Baggenstoss.
    Speech Music Discrimination Using Class-Specific Features.
    ICPR (2) 2004 (0) 2004
    Show item 1 to 25 of 39  

    Your query returned 39 matches in the database.