We identify a cause for interpolation artifacts in objective functions by observing that the energy of interpolated and translated 2 sequences oscillates with respect to the trans...
Gustavo K. Rohde, Dennis M. Healy Jr., Carlos A. B...
— It is well known that edge filters in the visual system can be generated by the InfoMax principle. But, such models are nonlinear and employ fully-connected network structures...
A multiobjective genetic algorithm to uncover community structure in complex network is proposed. The algorithm optimizes two objective functions able to identify densely connecte...
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Image thresholding is one of the most common image processing operations, since almost all image processing schemes need some sort of separation of the pixels into different class...
Martin Luessi, Marco Eichmann, Guido M. Schuster, ...
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...