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CIKM
2010
Springer
15 years 4 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
CHI
2011
ACM
14 years 9 months ago
The reading desk: applying physical interactions to digital documents
Reading is increasingly being performed interactively on-screen; for instance, new novels are now routinely released in electronic format for viewing on PCs and mobile devices. Un...
Jennifer Pearson, George Buchanan, Harold W. Thimb...
ICDE
2006
IEEE
194views Database» more  ICDE 2006»
16 years 6 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
VISAPP
2010
15 years 5 months ago
Speeded up image matching using split and extended SIFT features
Matching feature points between images is one of the most fundamental issues in computer vision tasks. As the number of feature points increases, the feature matching rapidly becom...
Faraj Alhwarin, Danijela Ristić–Durrant and Axe...
FUZZIEEE
2007
IEEE
15 years 12 months ago
A Feature Selection Method Based on Choquet Integral and Typicality Analysis
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
Cyril Mazaud, Jan Rendek, Vincent Bombardier, Laur...