In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
We propose a unifying framework for model-based specification notations. Our framework captures the execution semantics that are common among model-based notations, and leaves the...
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
— Modern cities are becoming increasingly networked Network Operator and the Service Providers can introduce environments and a plethora of computing equipment interacts their ow...
Antonis M. Hadjiantonis, Marinos Charalambides, Ge...