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» A Quality Model for Evaluating Feature Models
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ECCV
2008
Springer
16 years 8 months ago
Unified Crowd Segmentation
Abstract. This paper presents a unified approach to crowd segmentation. A global solution is generated using an Expectation Maximization framework. Initially, a head and shoulder d...
Gianfranco Doretto, Jens Rittscher, Nils Krahnstoe...
CN
2004
129views more  CN 2004»
15 years 6 months ago
Measuring normality in HTTP traffic for anomaly-based intrusion detection
In this paper, the problem of measuring normality in HTTP traffic for the purpose of anomaly-based network intrusion detection is addressed. The work carried out is expressed in t...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
JMLR
2010
165views more  JMLR 2010»
15 years 1 months ago
Causal Inference
: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional stati...
Judea Pearl
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 6 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
BMCBI
2008
126views more  BMCBI 2008»
15 years 6 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...