We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
In this paper, we consider the problem of tracking nonrigid surfaces and propose a generic data-driven mesh deformation framework. In contrast to methods using strong prior models...
The Earliest Deadline First scheduling algorithm (EDF) is known to not be optimal under global scheduling on multiprocessor platforms. Results have been obtained that bound the ma...
Jeremy P. Erickson, UmaMaheswari Devi, Sanjoy K. B...
Reducing the energy consumption of a wireless cellular network is an important and urgent problem. This paper studies the effect of cell sizes on the energy consumed by the networ...
Sourjya Bhaumik, Girija J. Narlikar, Subhendu Chat...