Name that Tune! An Introduction to Musical Information Retrieval

2013 ◽  
Author(s):  
Jean Tague-Sutcliffe ◽  
Stephen Downie ◽  
Shane Dunne
Keyword(s):  
Information Retrieval ◽  
Word Processing ◽  
Database Systems ◽  
Spatial Processing ◽  
Verbal Processing ◽  
Numerical Processing ◽  
Processing Capability ◽  
Widespread Availability ◽  
In The Beginning

In the beginning, computers, as their name implies, had numerical processing capability. The development of word processing and database systems gave them verbal processing capability and of graphics cards and software spatial processing capability. Now, with the widespread availability of sound cards and MIDI files, we may claim, as well, that computers have musical processing capability.

Dynamic Taxonomies

2011 ◽  
pp. 1537-1546
Author(s):  
Giovanni M. Sacco
Keyword(s):  
Knowledge Management ◽  
Information Retrieval ◽  
Knowledge Worker ◽  
Database Systems ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
End User ◽  
Information Base ◽  
Search Tasks ◽  
Complex Information

End-user interactive access to complex information is one of the key functionalities of knowledge management systems. Traditionally, access paradigms have focused on retrieval of data on the basis of precise specifications: examples of this approach include queries on structured database systems, and information retrieval. However, most search tasks, and notably those typical of a knowledge worker, are exploratory and imprecise in essence: the user needs to explore the information base, find relationships among concepts, and thin alternatives out in a guided way.

Technology, Educational Media, and E-Resources

2006 ◽  
pp. 24-49
Author(s):  
Yukiko Inoue ◽  
Suzanne Bell
Keyword(s):  
Data Storage ◽  
Word Processing ◽  
Storage Capacity ◽  
The Internet ◽  
Computational Power ◽  
Educational Media ◽  
Numerical Processing ◽  
Video And Audio ◽  
And Mathematics ◽  
Digital Computers

Digital computers have been around for some 50 years. Their influence has been felt in fits and starts. Early significant applications were in science, engineering and mathematics. In the last 20 years, we have seen computing become relatively universal with stand-alone PCs and workstations commonplace in homes, offices and factories. Both computational power and data storage capacity have become relatively cheap. Powerful application packages for word-processing, numerical processing and graphical work are readily available. Data of all kinds can now be represented and manipulated digitally, including photographs, video and audio tracks. Increasingly all of this is possible not just on stand-alone computers but also over networks and in particular the Internet. (Ryan, Scott, Freeman, & Patel, 2001, p. 9)

Relative preservation of the recognition of positive facial expression “happiness” in Alzheimer disease

2012 ◽  
Vol 25 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Yohko Maki ◽  
Hiroshi Yoshida ◽  
Tomoharu Yamaguchi ◽  
Haruyasu Yamaguchi
Keyword(s):  
Alzheimer Disease ◽  
Facial Expression ◽  
Facial Expressions ◽  
The Other ◽  
Spatial Processing ◽  
Facial Features ◽  
Confounding Factors ◽  
Verbal Processing ◽  
Verbal Labels ◽  
Normal Controls

ABSTRACTBackground:Positivity recognition bias has been reported for facial expression as well as memory and visual stimuli in aged individuals, whereas emotional facial recognition in Alzheimer disease (AD) patients is controversial, with possible involvement of confounding factors such as deficits in spatial processing of non-emotional facial features and in verbal processing to express emotions. Thus, we examined whether recognition of positive facial expressions was preserved in AD patients, by adapting a new method that eliminated the influences of these confounding factors.Methods:Sensitivity of six basic facial expressions (happiness, sadness, surprise, anger, disgust, and fear) was evaluated in 12 outpatients with mild AD, 17 aged normal controls (ANC), and 25 young normal controls (YNC). To eliminate the factors related to non-emotional facial features, averaged faces were prepared as stimuli. To eliminate the factors related to verbal processing, the participants were required to match the images of stimulus and answer, avoiding the use of verbal labels.Results:In recognition of happiness, there was no difference in sensitivity between YNC and ANC, and between ANC and AD patients. AD patients were less sensitive than ANC in recognition of sadness, surprise, and anger. ANC were less sensitive than YNC in recognition of surprise, anger, and disgust. Within the AD patient group, sensitivity of happiness was significantly higher than those of the other five expressions.Conclusions:In AD patient, recognition of happiness was relatively preserved; recognition of happiness was most sensitive and was preserved against the influences of age and disease.

Dynamic Taxonomies

2010 ◽  
pp. 229-239
Author(s):  
Giovanni M. Sacco
Keyword(s):  
Knowledge Management ◽  
Information Retrieval ◽  
Knowledge Worker ◽  
Database Systems ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
End User ◽  
Information Base ◽  
Search Tasks ◽  
Complex Information

End-user interactive access to complex information is one of the key functionalities of knowledge management systems. Traditionally, access paradigms have focused on retrieval of data on the basis of precise specifications: examples of this approach include queries on structured database systems, and information retrieval. However, most search tasks, and notably those typical of a knowledge worker, are exploratory and imprecise in essence: the user needs to explore the information base, find relationships among concepts, and thin alternatives out in a guided way.

Panel: Integration of Information Retrieval and Database Systems

SIGIR ’94 ◽  
1994 ◽  
pp. 360-360
Author(s):  
Bruce W. Croft ◽  
C. J. van Rijsbergen
Keyword(s):  
Information Retrieval ◽  
Database Systems
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