In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
This paper intends to present the challenges and opportunities encountered in technology training at small institutions using Trinity University as a case in point. During the cou...
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
This paper explains two projects dealing with spam recently completed at Iowa State University (ISU). The first project was undertaken by a team composed of members of the campus ...