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» Arguing from Experience to Classifying Noisy Data
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GPEM
2010
134views more  GPEM 2010»
13 years 7 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ICDE
2009
IEEE
148views Database» more  ICDE 2009»
14 years 10 months ago
Probabilistic Inference over RFID Streams in Mobile Environments
Abstract-- Recent innovations in RFID technology are enabling large-scale cost-effective deployments in retail, healthcare, pharmaceuticals and supply chain management. The advent ...
Thanh Tran 0002, Charles Sutton, Richard Cocci, Ya...
AAI
2006
215views more  AAI 2006»
13 years 9 months ago
Extensive Evaluation of Efficient NLP-Driven Text Classification
Extensive experimental evidence is required to study the impact of text categorization approaches on real data and to assess the performance within operational scenarios. In this ...
Roberto Basili, Alessandro Moschitti, Maria Teresa...
3DIM
2001
IEEE
14 years 16 days ago
Comparison of HK and SC Curvature Description Methods
This paper compares two different local surface shape description methods. The general goal of surface shape description methods is to classify different surface shapes from range...
H. Cantzler, Robert B. Fisher
PAMI
2006
136views more  PAMI 2006»
13 years 8 months ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller