In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
Although ear recognition has been researched widely, there still exist some problems to be resolved in depth such as multi-pose ear recognition which is rarely focused on. In this...
Several image mosaicing algorithms claiming to advance the state of the art have been proposed so far. Though sometimes improvements can be recognised without quantitative evidence...
Pietro Azzari, Luigi di Stefano, Stefano Mattoccia
Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground-truth data sets for complex scenes. We describe a simple modification to a r...
Ben Galvin, Brendan McCane, Kevin Novins, David Ma...
A new family of boosting algorithms, denoted TaylorBoost, is proposed. It supports any combination of loss function and first or second order optimization, and includes classical...
Mohammad Saberian, Hamed Masnadi-Shirazi, Nuno Vas...