A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...
Octavia I. Camps, Hwasup Lim, Cecilia Mazzaro, Mar...
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Abstract. This paper introduces the model-based software development lifecycle model SMA--the Smyle Modeling Approach--which is centered around Smyle. Smyle is a dedicated learning...
High-level, or holistic, scene understanding involves
reasoning about objects, regions, and the 3D relationships
between them. This requires a representation above the
level of ...
Multiple simulation runs using the same simulation model with different values of control parameters usually generate large data sets that capture the variational aspects of the be...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...