Detecting and predicting a program’s execution phases are crucial to dynamic optimizations and dynamically adaptable systems. This paper shows that a phase can be associated with...
Jinpyo Kim, Sreekumar V. Kodakara, Wei-Chung Hsu, ...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
The robust localization and tracking of faces in video streams is a fundamental concern for many subsequent multi-modal recognition approaches. Especially in meeting scenarios sev...
Frank Wallhoff, Martin Zobl, Gerhard Rigoll, Igor ...
In this paper, we propose a technique for detecting possible events in outdoor areas monitored by a video surveillance system. In particular, here we focus on the time spent by an...
Christian Micheloni, Lauro Snidaro, Claudio Piciar...
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...