Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
In this paper, we show the necessity of reconfigurable hardware for data and signal processing in wireless mobile terminals. We first identify the key processing power requirement...
—In response to the increasing number of open source software (OSS) project initiatives and the increasing demand of OSS products as alternative solutions by industries, it is im...
Dindin Wahyudin, Khabib Mustofa, Alexander Schatte...