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» A Use Case Based Approach to Feature Models' Construction
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ICIP
2009
IEEE
16 years 7 months ago
Circular Blurred Shape Model For Symbol Spotting In Documents
Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...
FGR
2006
IEEE
263views Biometrics» more  FGR 2006»
16 years 25 days ago
Robust Head Tracking Based on a Multi-State Particle Filter
This paper proposes a novel method for robust and automatic realtime head tracking by fusing face and head cues within a multi-state particle filter. Due to large appearance vari...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 7 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
ICDM
2010
IEEE
235views Data Mining» more  ICDM 2010»
15 years 4 months ago
Content-Based Methods for Predicting Web-Site Demographic Attributes
Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotion...
Santosh Kabbur, Eui-Hong Han, George Karypis
SIGSOFT
2007
ACM
16 years 7 months ago
Measuring empirical computational complexity
The standard language for describing the asymptotic behavior of algorithms is theoretical computational complexity. We propose a method for describing the asymptotic behavior of p...
Simon Goldsmith, Alex Aiken, Daniel Shawcross Wilk...