Josef Baumgartner

According to our database, Josef Baumgartner authored at least 6 papers between 2010 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2016

Reconocimiento de patrones en campos aleatorios de Markov mediante modelos bayesianos para la agricultura de precisión

Josef Baumgartner

PhD thesis, 2016

A new image segmentation framework based on two-dimensional hidden Markov models.

Josef Baumgartner, Ana Georgina Flesia, Javier Gimenez, Julián A. Pucheta

Integr. Comput. Aided Eng., 2016

2015

A New Approach to Segmentation of Multispectral Remote Sensing Images Based on MRF.

Josef Baumgartner, Javier Gimenez, Marcelo C. Scavuzzo, Julián A. Pucheta

IEEE Geosci. Remote. Sens. Lett., 2015

2013

Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms.

Ana Georgina Flesia, Josef Baumgartner, Javier Gimenez, Jorge Martinez

CoRR, 2013

Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series.

Cristian Rodrìguez Rivero, Julián A. Pucheta, Hector D. Patiño, Josef Baumgartner, Sergio Laboret, Vìctor Sauchelli

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2010

An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural Network.

Cristian Rodrìguez Rivero, Julián A. Pucheta, Josef Baumgartner, Hector D. Patiño, Benjamín R. Kuchen

Proceedings of The 2010 International Conference on Data Mining, 2010