A Community-based Expert Finding System (2008)
Florian Metze, Christian Bauckhage, Tansu Alpcan, Kathrin Dobbrott
This paper proposes a system to facilitate exchange of information by automatically finding experts, competent in answering a given question. Our objective is to provide an online tool, which enables...
Believability Testing and Bayesian Imitation in Interactive Computer Games (2008)
Bernard Gorman, Christian Thurau, Christian Bauckhage, Mark Humphrys
Abstract. In imitation learning, agents are trained to carry out certain actions by examining a demonstration of the task at hand. Though common in robotics, little work has been done in translating...
Christian Bauckhage, Martin Roth, Verena V. Hafner, Deutsche Telekom Ag
Abstract. Most computer games that are set in simulated 3D worlds require the player to act according to his or her current location. For the programming of convincing artificial game agents this...
Detecting Abnormal Gait (2008)
Christian Bauckhage, John K. Tsotsos, Frank E. Bunn
Analyzing human gait has become popular in computer vision. So far, however, contributions to this topic almost exclusively considered the problem of person identification. In this paper, we will...
Separable Linear Discriminant Classification (2008)
Christian Bauckhage And, Christian Bauckhage, John K. Tsotsos
Linear discriminant analysis is a popular technique in computer vision, machine learning and data mining. It has been successfully applied to various problems, and there are numerous variations of...
Mining for Social Serendipity (2008)
Passant, Alexandre, Mulvany, Ian, Mika, Peter, Maisonneauve, Nicolas, Löser, Alexander, Cattuto, Ciro, ...
A common social problem at an event in which people do not personally know all of the other participants is the natural tendency for cliques to form and for discussions to mainly happen between...
08391 Group Summary -- Mining for Social Serendipity (2008)
Passant, Alexandre, Mulvany, Ian, Mika, Peter, Maisonneuve, Nicolas, Löser, Alexander, Cattuto, Ciro, ...
A common social problem at an event in which people do not personally know all of the other participants is the natural tendency for cliques to form and for discussions to mainly happen between...
In B. Radig, S. Florczyk, Pattern Recognition, Lecture Notes, Computer Science, Christian Bauckhage, ...
Springer-Verlag Heidelberg. Permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or...
An Efficient OntologyBased Expert Peering System (2007)
Tansu Alpcan, Christian Bauckhage, Sachin Agarwal
Abstract. This paper proposes a novel expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can query experts, who...
Vision Systems with the Human in the Loop (2005)
Christian Bauckhage, Marc Hanheide, Sebastian Wrede, Thomas Käster, Michael Pfeiffer, Gerhard Sagerer
The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the...
Face Recognition with Weighted Locally Linear Embedding (2005)
Nathan Mekuz, Christian Bauckhage, John K. Tsotsos
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate extending...
Is Bayesian Imitation Learning the Route to Believable Gamebots? (2005)
Christian Thurau, Tobias Paczian, Christian Bauckhage
As it strives to imitate observably successful actions, imitation learning allows for a quick acquisition of proven behaviors. Recent work from psychology and robotics suggests that Bayesian...
Vision Systems with the Human in the Loop (2005)
Christian Bauckhage, Marc Hanheide, Sebastian Wrede, Thomas Käster, Michael Pfeiffer, Gerhard Sagerer
The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the...
An Active Memory as a Model for Information Fusion (2004)
Sebastian Wrede, Marc Hanheide, Christian Bauckhage, Gerhard Sagerer
Abstract – Information fusion is a mandatory prerequisite for cognitive vision systems. These are vision systems that apply reasoning and learning on different levels of abstraction and...
Christian Bauckhage, Christian Thurau
Superior weapon handling is the road to success in first person shooter games. On the expert level of gameplay, this demands more than just accurate tracking and targeting of opponents. It also...
Learning Humanlike Opponent Behavior for Interactive Computer Games (2003)
Christian Bauckhage, Christian Thurau, Gerhard Sagerer
Abstract. Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelligent...
New Collective Works, Christian Bauckhage, Franz Kummert, Gerhard Sagerer
Although structural approaches to pattern recognition are not as popular anymore as they were some 30 years ago, they still provide reasonable solutions for certain recognition problems. This paper...
Exploiting the Fascination: Video Games in Machine Learning Research and Education (2003)
Christian Bauckhage, Christian Thurau
Present day video games offer interesting perspective for computer science research and eduction. As the first generation in history that grew up playing computer games is gradually moving from being...
A structural framework for assembly modeling and recognition (2002)
Recently, scientists investigating advanced human-computer communication discovered interactive toys and game playing scenarios as a suitable setting to test their algorithms. The SFB 360 at...
A structural framework for assembly modeling and recognition [Elektronische Ressource] / (2002)
Bielefeld, University, Diss., 2002.
Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies (2000)
Christian Bauckhage, Susanne Kronenberg, Franz Kummert, Gerhard Sagerer, Ag Angew, ...
Springer-Verlag Heidelberg. Permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or...
Evaluation of Interest Point Detectors (2000)
Cordelia Schmid, Roger Mohr, Christian Bauckhage
Many different low-level feature detectors exist and it is widely agreed that the evaluation of detectors is important. In this paper we introduce two evaluation criteria for interest points :...
Learning Assembly Sequence Plans Using Functional Models (1999)
Christian Bauckhage, Franz Kummert, Gerhard Sagerer, Ag Angew, Te Informatik
IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or...
Towards a Vision System for Supervising Assembly Processes (1999)
Christian Bauckhage, Jannik Fritsch, Franz Kummert, Gerhard Sagerer
Abstract. Supervising robotic assembly of multi-functional objects by means of a computer vision system requires components to identify assembly operations and to recognize feasible assemblies of...
Towards a Vision System for Supervising Assembly Processes (1999)
Christian Bauckhage, Jannik Fritsch, Franz Kummert, Gerhard Sagerer
. Supervising robotic assembly of multi-functional objects by means of a computer vision system requires components to identify assembly operations and to recognize feasible assemblies of single...
Modeling and Recognition of Assembled Objects (1998)
Christian Bauckhage, Franz Kummert, Gerhard Sagerer, Ag Angew, Te Informatik
IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or...
Comparing and Evaluating Interest Points (1998)
Cordelia Schmid, Roger Mohr, Christian Bauckhage
Many computer vision tasks rely on feature extraction. Interest points are such features. This paper shows that interest points are geometrically stable under different transformations and have high...