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...
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
We introduce the “WUI-Toolkit” as a framework to support and ease the development of wearable user interfaces (WUIs). The toolkit presents a first step towards a model-driven...
Mismatches in QoS (Quality of Service) often appears as a major but implicit hurdle to smooth component integration. This paper presents a solution to the above problem through pr...
Extracting appropriate custom instructions is an important phase for implementing an application on an extensible processor with a reconfigurable functional unit (RFU). Custom inst...