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Paul M. Baggenstoss

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

10

Venues

5

Active years

1999–2021

Best venue rank

Multiconference

Where they publish

Papers

10 indexed papers, newest first.

Year	Venue	Title	Authors
2021	FUSION	On a Detection Method of Adversarial Samples for Deep Neural Networks.	Felix Govaers, Paul M. Baggenstoss
2020	ICASSP	A Neural Network Based on First Principles.	Paul M. Baggenstoss
2016	FUSION	Maximum entropy feature fusion.	Paul M. Baggenstoss
2014	IC2E	Optimal Detection and Classification of Diverse Short-duration Signals.	Paul M. Baggenstoss
2004	ICPR	Speech Music Discrimination Using Class-Specific Features.	Thomas Beierholm, Paul M. Baggenstoss
2003	IBPRIA	A New Optimal Classifier Architecture to Aviod the Dimensionality Curse.	Paul M. Baggenstoss
2002	ICPR	The Chain-Rule Processor: Optimal Classification Through Signal Processing.	Paul M. Baggenstoss
2000	ICASSP	A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces.	Paul M. Baggenstoss
2000	ICPR	A Theoretically Optimal Probabilistic Classifier Using Class-Specific Features.	Paul M. Baggenstoss, Heinrich Niemann
1999	ICASSP	An E-M algorithm for joint model estimation.	Paul M. Baggenstoss, Tod Luginbuhl