Sound methods of analysis and comparison of software processes are crucial for such tasks as process understanding, process correctness verification, evolution management, proces...
Rodion M. Podorozhny, Dewayne E. Perry, Leon J. Os...
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
Understanding the dynamics of knowledge diffusion has profound theoretical and practical implications across a wide variety of domains, ranging from scientific disciplines to educa...
Chaomei Chen, Weizhong Zhu, Brian M. Tomaszewski, ...
Multi-category bootstrapping algorithms were developed to reduce semantic drift. By extracting multiple semantic lexicons simultaneously, a category's search space may be res...