Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2020A neural network based on first principles
Baggenstoss, P.M.
Conference Paper
2020The projected belief network classifier: Both generative and discriminative
Baggenstoss, P.M.
Conference Paper
2018Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints
Baggenstoss, P.M.
Journal Article
2018Kernel-based generative learning in distortion feature space
Tang, B.; Baggenstoss, P.M.; He, H.
Conference Paper
2017Maximum entropy PDF projection: A review
Baggenstoss, P.M.
Conference Paper
2016A bayesian classification approach using class-specific features for text categorization
Tang, B.; He, H.B.; Baggenstoss, P.M.; Kay, S.
Journal Article
2016Combining the glottal mixture model (GLOMM) with UBM for speaker recognition
Baggenstoss, P.M.
Conference Paper
2016EEF: Exponentially Embedded Families with Class-Specific Features for Classification
Tang, B.; Kay, S.; He, H.; Baggenstoss, P.M.
Journal Article
2016Maximum entropy feature fusion
Baggenstoss, P.M.
Conference Paper
2015Car detection by fusion of HOG and causal MRF
Madhogaria, S.; Baggenstoss, P.M.; Schikora, M.; Koch, W.; Cremers, D.
Journal Article
2015Class-specific model mixtures for the classification of time-series
Baggenstoss, P.M.
Conference Paper
2015Derivative-augmented features as a dynamic model for time-series
Baggenstoss, P.M.
Conference Paper
2014Comparing shift-autocorrelation with cepstrum for detection of burst pulses in impulsive noise
Baggenstoss, P.M.; Kurth, F.
Journal Article