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...
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...
— 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...
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...
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, ...