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ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A HMM-Embedded Unsupervised Learning to Musical Event Detection
In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...
Sheng Gao, Yongwei Zhu
APNOMS
2006
Springer
15 years 1 months ago
Detecting and Identifying Network Anomalies by Component Analysis
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
Le The Quyen, Marat Zhanikeev, Yoshiaki Tanaka
BMCBI
2006
109views more  BMCBI 2006»
14 years 10 months ago
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
Alison A. Motsinger, Stephen L. Lee, George Mellic...
CLEF
2010
Springer
14 years 10 months ago
Ambiguity of Queries and the Challenges for Query Language Detection
In this paper, a sample set of 510 simple searches from the TEL action log 2009 is analyzed for query content and query language. More than half of the queries are for named entiti...
Juliane Stiller, Maria Gäde, Vivien Petras
PERCOM
2010
ACM
14 years 4 months ago
Detecting activities from body-worn accelerometers via instance-based algorithms
The automatic and unobtrusive identification of user's activities is one of the challenging goals of context-aware computing. This paper discusses and experimentally evaluate...
Nicola Bicocchi, Marco Mamei, Franco Zambonelli