2167 search results - page 223 / 434 » Learning with Drift Detection |
140
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NIPS
2008
15 years 6 months ago
2008
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
138
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ACSW
2004
15 years 6 months ago
2004
This paper describes an approach to the detection of stress in spoken New Zealand English. After identifying the vowel segments of the speech signal, the approach extracts two dif...
134
Voted
SDM
2003
SIAM
15 years 6 months ago
2003
SIAM
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
149
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AAAI
1998
15 years 6 months ago
1998
Eye finding is the first step toward building a machine that can recognize social cues, like eye contact and gaze direction, in a natural context. In this paper, we present a real...
141
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...