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NIPS
2004
13 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
CAIP
2009
Springer
156views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Bio-inspired Approach for the Recognition of Goal-Directed Hand Actions
The recognition of transitive, goal-directed actions requires a sensible balance between the representation of specific shape details of effector and goal object and robustness w...
Falk Fleischer, Antonino Casile, Martin A. Giese
SOFTVIS
2003
ACM
14 years 22 days ago
Visualizing Model Mappings in UML
Whenever multiple representations or models of a system exist, there is the possibility of defining how they relate. In model driven software development, it is essential that th...
Jan Hendrik Hausmann, Stuart Kent
DSOM
1999
Springer
13 years 11 months ago
Derivation of Backup Service Management Applications from Service and System Models
The backup of large data sets is preferably performed automatically outside of regular working hours. In highly structured computer networks, however, faults and exceptions may rel...
Ingo Lück, Marcus Schönbach, Arnulf Mest...
ERSHOV
1999
Springer
13 years 11 months ago
Current Directions in Hyper-Programming
The traditional representation of a program is as a linear sequence of text. At some stage in the execution sequence the source text is checked for type correctness and its transla...
Ronald Morrison, Richard C. H. Connor, Quintin I. ...