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ICML
2000
IEEE
14 years 1 months ago
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Thomas R. Shultz, François Rivest
BPM
2007
Springer
109views Business» more  BPM 2007»
14 years 3 months ago
Process Mining Based on Regions of Languages
In this paper we give an overview, how to apply region based methods for the synthesis of Petri nets from languages to process mining. The research domain of process mining aims at...
Robin Bergenthum, Jörg Desel, Robert Lorenz, ...
CVPR
2012
IEEE
11 years 11 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
IPPS
1999
IEEE
14 years 1 months ago
An Adaptive, Fault-Tolerant Implementation of BSP for JAVA-Based Volunteer Computing Systems
Abstract. In recent years, there has been a surge of interest in Javabased volunteer computing systems, which aim to make it possible to build very large parallel computing network...
Luis F. G. Sarmenta
SIGIR
2010
ACM
14 years 7 days ago
Spatial relationships in visual graph modeling for image categorization
In this paper, a language model adapted to graph-based representation of image content is proposed and assessed. The full indexing and retrieval processes are evaluated on two diļ...
Trong-Ton Pham, Philippe Mulhem, Loïc Maisonn...