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ISMIR
2005
Springer
196views Music» more  ISMIR 2005»
14 years 1 months ago
ACE: A Framework for Optimizing Music Classification
This paper presents ACE (Autonomous Classification Engine), a framework for using and optimizing classifiers. Given a set of feature vectors, ACE experiments with a variety of cla...
Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Bein...
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 1 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
APGV
2004
ACM
176views Visualization» more  APGV 2004»
14 years 1 months ago
Towards perceptually realistic talking heads: models, methods and McGurk
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
Darren Cosker, Susan Paddock, A. David Marshall, P...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
14 years 1 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
AVSS
2003
IEEE
14 years 1 months ago
Improving the Extraction of Temporal Motion Strength Signals from Video Recordings of Neonatal Seizures
Automated processing and analysis of video recordings of neonatal seizures can generate novel methods for extracting quantitative information that is relevant only to the seizure [...
Nicolaos B. Karayiannis, Guozhi Tao
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