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» Preference learning with Gaussian processes
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ICASSP
2008
IEEE
14 years 2 months ago
Stylization of pitch with syllable-based linear segments
Fundamental frequency contours for speech, as obtained by common pitch tracking algorithms, contain a great deal of fine detail that is unlikely to hold much perceptual significa...
Suman Ravuri, Daniel P. W. Ellis
WWW
2006
ACM
14 years 9 months ago
Automatic identification of user interest for personalized search
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Feng Qiu, Junghoo Cho
ICASSP
2011
IEEE
13 years 5 days ago
A partial least squares framework for speaker recognition
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
Balaji Vasan Srinivasan, Dmitry N. Zotkin, Ramani ...
ICIP
2000
IEEE
14 years 10 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
AIEDU
2004
105views more  AIEDU 2004»
13 years 8 months ago
Evaluating the REDEEM Authoring Tool: Can Teachers Create Effective Learning Environments?
The REDEEM authoring environment allows teachers to create learning environments from existing computer-based training (CBT) by imposing their pedagogical preferences about how stu...
Shaaron Ainsworth, Shirley Grimshaw