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» On the chance accuracies of large collections of classifiers
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ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
14 years 1 months ago
Classification of Musical Metre with Autocorrelation and Discriminant Functions
The performance of autocorrelation-based metre induction was tested with two large collections of folk melodies, consisting of approximately 13,000 melodies in MIDI file format, f...
Petri Toiviainen, Tuomas Eerola
HIPC
2009
Springer
13 years 5 months ago
Extracting the textual and temporal structure of supercomputing logs
Supercomputers are prone to frequent faults that adversely affect their performance, reliability and functionality. System logs collected on these systems are a valuable resource o...
Sourabh Jain, Inderpreet Singh, Abhishek Chandra, ...
JCDL
2011
ACM
226views Education» more  JCDL 2011»
12 years 10 months ago
Measuring historical word sense variation
We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of kno...
David Bamman, Gregory Crane
LREC
2010
156views Education» more  LREC 2010»
13 years 9 months ago
Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System
In this paper, we propose an estimation method of user satisfaction for a spoken dialog system using an N-gram-based dialog history model. We have collected a large amount of spok...
Sunao Hara, Norihide Kitaoka, Kazuya Takeda
TMM
2011
169views more  TMM 2011»
13 years 2 months ago
Empowering Visual Categorization With the GPU
—Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words mo...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...