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ICPR
2010
IEEE
15 years 7 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä
AUSAI
2008
Springer
15 years 6 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
CAISE
2008
Springer
15 years 6 months ago
On the Definition of Service Granularity and Its Architectural Impact
Service granularity generally refers to the size of a service. The fact that services should be large-sized or coarse-grained is often postulated as a fundamental design principle ...
Raf Haesen, Monique Snoeck, Wilfried Lemahieu, Ste...
CIA
2008
Springer
15 years 6 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
CIKM
2008
Springer
15 years 6 months ago
Web-scale named entity recognition
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petr...