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ATAL
2008
Springer
15 years 8 months ago
On k-optimal distributed constraint optimization algorithms: new bounds and algorithms
Distributed constraint optimization (DCOP) is a promising approach to coordination, scheduling and task allocation in multi agent networks. In large-scale or low-bandwidth network...
Emma Bowring, Jonathan P. Pearce, Christopher Port...
ICPR
2004
IEEE
16 years 7 months ago
Adjustable Invariant Features by Partial Haar-Integration
A very common type of a-priori knowledge in pattern analysis problems is invariance of the input data with respect to transformation groups, e.g. geometric transformations of imag...
Alaa Halawani, Bernard Haasdonk, Hans Burkhardt
ICTAI
2009
IEEE
16 years 1 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
MLDM
2009
Springer
16 years 1 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
IWPC
2007
IEEE
16 years 23 days ago
Detecting Interaction Coupling from Task Interaction Histories
A repository of task structures can reveal important latent knowledge about the development of a software system. Although approaches have been proposed to recover artifacts withi...
Lijie Zou, Michael W. Godfrey, Ahmed E. Hassan