Research Projects - Intelligent Systems

2016 - 2020
Resource-Efficient Deep Models for Embedded Systems

Deep representation learning is one of the main factors for the recent performance boost in many image, signal and speech processing problems. This is particularly true when having big amounts of...

2015 - 2018
Learning of Bayesian Network Classi ers and Sum- Product Networks

Discriminative learning of Bayesian networks (BNs) for classi fication tasks is often bene ficial
compared to generative learning. This is particularly true in case of model mismatch, i.e....

2017
Propabilistc Graphical Models for Signal Analysis

Siemens announced in cooperation with the SPSC Lab a Master Thesis in the area of signal analysis using pattern recognition and machine learning techniqes. For details, we refer to the enclosed...

2013 - 2016
Probabilistic Graphical Models for Time-Series Signal Mixtures
Robustness against reverberation, noise, and interfering audio signals is one of the grand challenges in speech recognition, speech understanding, and audio analysis technology. One avenue to...
2014 - 2016
Computerunterstützte akustische Diagnostik thorakaler Erkrankungen

 

 

2011 - 2014
Signal and Information Processing in Science and Engineering - Nonlinear Dynamic and Machine Learning (SISE-NDML-II) FWF S10610-N13

The modeling, measurement, transmission, and processing of information-bearing data and signals are key constituents of any modern technical system. Driven by scalability and reliability...

2010 - 2013
Discriminative Learning of Graphical Models with Application to Speech and Image Processing

Graphical models have become the method of choice for representation of uncertainty in machine learning. Two research issues are currently of major interest in the scientific community: First,...

2007 - 2010
Discriminative Learning of Bayesian Network Classifiers

Over the last decade, Bayesian networks have become the method of choice for representation of uncertainty in machine learning. Bayesian networks are used in many research areas such as...

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2003 - 2006
Description and Classification of 3-D Surfaces

In steel industry there is an increasing demand for automatic inspection systems to control the quality of products. Through the economic pressure on the supplier to industry the inspection of a...

2002 - 2004
Shape Description and Analysis of Range Data for Surface Inspection Applications

In the steel industry there is an increasing demand for automatic inspection systems to control the quality of products. Through the economic pressure on the supplier to the industry, the...