TY  - CHAP
A1  - Walter, Peter
A1  - Elsen, Ingo
A1  - Müller, Holger
A1  - Kraiss, Karl-Friedrich
T1  - 3D object recognition with a specialized mixtures of experts architecture
T2  - IJCNN'99. International Joint Conference on Neural Networks. Proceedings
N2  - Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.
Y1  - 1999
SN  - 0-7803-5529-6
U6  - http://dx.doi.org/10.1109/IJCNN.1999.836243
SN  - 1098-7576
N1  - Washington, DC 10-16.07.1999
SP  - 3563
EP  - 3568
PB  - IEEE
CY  - New York
ER  - 
TY  - JOUR
A1  - Elsen, Ingo
A1  - Kraiss, Karl-Friedrich
T1  - System concept and realization of a scalable neurocomputing architecture
JF  - Systems Analysis Modelling Simulation
N2  - This paper describes the realization of a novel neurocomputer which is based on the concepts of a coprocessor. In contrast to existing neurocomputers the main interest was the realization of a scalable, flexible system, which is capable of computing neural networks of arbitrary topology and scale, with full independence of special hardware from the software's point of view. On the other hand, computational power should be added, whenever needed and flexibly adapted to the requirements of the application. Hardware independence is achieved by a run time system which is capable of using all available computing power, including multiple host CPUs and an arbitrary number of neural coprocessors autonomously. The realization of arbitrary neural topologies is provided through the implementation of the elementary operations which can be found in most neural topologies.
Y1  - 1999
SN  - 0232-9298
SN  - 1029-4902
VL  - 35
IS  - 4
SP  - 399
EP  - 419
PB  - Gordon and Breach Science Publishers
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Elsen, Ingo
A1  - Kraiss, Karl-Friedrich
A1  - Krumbiegel, Dirk
A1  - Walter, Peter
A1  - Wickel, Jochen
T1  - Visual information retrieval for 3D product identification: a midterm report
JF  - KI - Künstliche Intelligenz
Y1  - 1999
SN  - 1610-1987
SN  - 0933-1875
VL  - 13
IS  - 1
SP  - 64
EP  - 67
PB  - Springer
CY  - Berlin
ER  -