Evaluating, analyzing and predicting the performance of a parallel system is challenging due to the complex inter-play between the application characteristics and architectural fe...
In this work we propose a model (in)validation approach to gait recognition, using a system that tries to discriminate specific activities of people. The recognition process depar...
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
Future mobile devices will be based on heterogeneous multiprocessing platforms accommodating several currently stand-alone applications. Increasing complexity of both application ...
Jari Kreku, Yang Qu, Juha-Pekka Soininen, Kari Tie...
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...