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ESANN
2004
14 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
PUC
2002
82views more  PUC 2002»
14 years 9 months ago
A Location Model for Communicating and Processing of Context
Location is one of the most important elements of context in ubiquitous computing. In this paper we describe a location model, a spatial-aware communication model and an implement...
Michael Beigl, Tobias Zimmer, Christian Decker
TCAD
2008
195views more  TCAD 2008»
14 years 9 months ago
Multilayer Obstacle-Avoiding Rectilinear Steiner Tree Construction Based on Spanning Graphs
Given a set of pins and a set of obstacles on routing layers, a multilayer obstacle-avoiding rectilinear Steiner minimal tree (ML-OARSMT) connects these pins by rectilinear edges w...
Chung-Wei Lin, Shih-Lun Huang, Kai-Chi Hsu, Meng-X...
SIGSOFT
2006
ACM
15 years 10 months ago
Scenarios, goals, and state machines: a win-win partnership for model synthesis
Models are increasingly recognized as an effective means for elaborating requirements and exploring designs. For complex systems, model building is far from an easy task. Efforts ...
Christophe Damas, Bernard Lambeau, Axel van Lamswe...
ICDAR
2005
IEEE
15 years 3 months ago
Fast Vector Matching Methods and Their Applications to Handwriting Recognition
A common practice in pattern recognition is to classify an unknown object by matching its feature vector with all the feature vectors stored in a database. When the number of clas...
Ying-Ho Liu, Wen-Hsiung Lin, Fu Chang, Chin-Chin L...