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ICDAR
1999
IEEE
13 years 11 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
BMCBI
2008
135views more  BMCBI 2008»
13 years 7 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
DSN
2007
IEEE
14 years 1 months ago
A Tunable Add-On Diagnostic Protocol for Time-Triggered Systems
We present a tunable diagnostic protocol for generic time-triggered (TT) systems to detect crash and send/receive omission faults. Compared to existing diagnostic and membership p...
Marco Serafini, Neeraj Suri, Jonny Vinter, Astrit ...
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
14 years 1 days ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin
CCIA
2007
Springer
14 years 1 months ago
Mendelian error detection in complex pedigrees using weighted constraint satisfaction techniques
With the arrival of high throughput genotyping techniques, the detection of likely genotyping errors is becoming an increasingly important problem. In this paper we are interested...
Martí Sánchez, Simon de Givry, Thoma...