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» Evaluating algorithms that learn from data streams
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HVEI
2010
15 years 5 months ago
A subjective study to evaluate video quality assessment algorithms
Automatic methods to evaluate the perceptual quality of a digital video sequence have widespread applications wherever the end-user is a human. Several objective video quality ass...
Kalpana Seshadrinathan, Rajiv Soundararajan, Alan ...
ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
15 years 10 months ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals
ICML
2004
IEEE
16 years 4 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
IUI
2010
ACM
15 years 11 months ago
From documents to tasks: deriving user tasks from document usage patterns
A typical knowledge worker is involved in multiple tasks and switches frequently between them every work day. These frequent switches become expensive because each task switch req...
Oliver Brdiczka
ISW
2007
Springer
15 years 10 months ago
New Weaknesses in the Keystream Generation Algorithms of the Stream Ciphers TPy and Py
The stream ciphers Py, Py6 designed by Biham and Seberry were promising candidates in the ECRYPT-eSTREAM project because of their impressive speed. Since their publication in Apri...
Gautham Sekar, Souradyuti Paul, Bart Preneel