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ICML
2003
IEEE
16 years 2 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
CHI
2008
ACM
16 years 2 months ago
Threshold devices: looking out from the home
Threshold devices present information gathered from the home's surroundings to give new views on the domestic situation. We built two prototypes of different threshold device...
William W. Gaver, Andy Boucher, Andy Law, Sarah Pe...
CIDM
2009
IEEE
15 years 8 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
118
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IJCNLP
2005
Springer
15 years 7 months ago
Automatic Image Annotation Using Maximum Entropy Model
Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling t...
Wei Li, Maosong Sun
HUC
2004
Springer
15 years 7 months ago
Reminding About Tagged Objects Using Passive RFIDs
People often misplace objects they care about. We present a system that generates reminders about objects left behind by tagging those objects with passive RFID tags. Readers posit...
Gaetano Borriello, Waylon Brunette, Matthew Hall, ...