We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
This paper proposes a system which eases the job of entering and sharing expert analysis on a database system, with emphasis to pictorial and document information. With this syste...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Many job applications on the web [3-4, 7-8, 10, 12] provide only simple boolean comparing using only basic requirement information (i.e., degree, age) for searching and matching j...
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...