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» Classification of musical genre: a machine learning approach
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CVPR
2009
IEEE
16 years 9 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
ICADL
2005
Springer
112views Education» more  ICADL 2005»
15 years 7 months ago
A Method for Creating a High Quality Collection of Researchers' Homepages from the Web
This paper proposes a method for creating a high quality collection of researchers’ homepages. The proposed method consists of three phases: rough filtering of the possible web p...
Yuxin Wang, Keizo Oyama
TEI
2010
ACM
179views Hardware» more  TEI 2010»
15 years 8 months ago
Feeling the beat where it counts: fostering multi-limb rhythm skills with the haptic drum kit
This paper introduces a tool known as the Haptic Drum Kit, which employs four computer-controlled vibrotactile devices, one attached to each wrist and ankle. In the applications d...
Simon Holland, Anders J. Bouwer, Mathew Dalgelish,...
MICCAI
2000
Springer
15 years 5 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
127
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AUSAI
2008
Springer
15 years 3 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan