Paul M Baggenstoss
Paul M Baggenstoss
Fraunhofer FKIE
Verified email at - Homepage
Cited by
Cited by
A Bayesian classification approach using class-specific features for text categorization
B Tang, H He, PM Baggenstoss, S Kay
IEEE Transactions on Knowledge and Data Engineering 28 (6), 1602-1606, 2016
A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces
PM Baggenstoss
IEEE Transactions on speech and audio processing 9 (4), 411-416, 2001
Multi-resolution hidden markov model using class specific features
PM Baggenstoss
US Patent 8,200,489, 2012
Class-specific feature sets in classification
PM Baggenstoss
IEEE Transactions on Signal Processing 47 (12), 3428-3432, 1999
Multidimensional probability density function approximations for detection, classification, and model order selection
SM Kay, AH Nuttall, PM Baggenstoss
IEEE Transactions on Signal Processing 49 (10), 2240-2252, 2001
The PDF projection theorem and the class-specific method
PM Baggenstoss
IEEE Transactions on Signal Processing 51 (3), 672-685, 2003
Class-specific classifier: avoiding the curse of dimensionality
PM Baggenstoss
IEEE Aerospace and Electronic Systems Magazine 19 (1), 37-52, 2004
On detecting linear frequency-modulated waveforms in frequency-and time-dispersive channels: Alternatives to segmented replica correlation
PM Baggenstoss
IEEE Journal of Oceanic Engineering 19 (4), 591-598, 1994
An algorithm for the localization of multiple interfering sperm whales using multi-sensor time difference of arrival
PM Baggenstoss
The Journal of the Acoustical Society of America 130 (1), 102-112, 2011
On estimating the angle parameters of an exponential signal at high SNR
PM Baggenstoss, SM Kay
IEEE Transactions on signal processing 39 (5), 1203-1205, 1991
Car detection by fusion of HOG and causal MRF
S Madhogaria, PM Baggenstoss, M Schikora, W Koch, D Cremers
IEEE Transactions on Aerospace and Electronic Systems 51 (1), 575-590, 2015
A theoretically optimal probabilistic classifier using class-specific features
PM Baggenstoss, H Niemann
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
On the duality between belief networks and feed-forward neural networks
PM Baggenstoss
IEEE Transactions on Neural Networks and learning systems 30 (1), 190-200, 2018
Maximum Entropy PDF Design Using Feature Density Constraints: Applications in Signal Processing
PM Baggenstoss
IEEE Transactions on Signal Processing 63 (11), 2815 - 2825, 2015
Synchronized switched mode power supplies
PM Baggenstoss
US Patent 5,045,712, 1991
Statistical modeling using gaussian mixtures and hmms with matlab
PM Baggenstoss
Naval Undersea Warfare Center, Newport RI, 2002
Separation of sperm whale click-trains for multipath rejection
PM Baggenstoss
The Journal of the Acoustical Society of America 129 (6), 3598-3609, 2011
Adaptive pulselength correction (APLECORR): a strategy for waveform optimization in ultrawideband active sonar
PM Baggenstoss
IEEE journal of oceanic engineering 23 (1), 1-11, 1998
Uniform manifold sampling (UMS): Sampling the maximum entropy pdf
PM Baggenstoss
IEEE Transactions on Signal Processing 65 (9), 2455-2470, 2017
Speech music discrimination using class-specific features
T Beierholm, PM Baggenstoss
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
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