We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
The power consumption due to the HW/SW communication on system-level buses represents one of the major contributions to the overall power budget. A model to estimate the switching...
William Fornaciari, Donatella Sciuto, Cristina Sil...
In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We a...
Abstract -- This paper describes a new memory estimation technique for DSP applications written in an applicative language. Since no concept of storage is present in an applicative...
Ingrid Verbauwhede, Chris J. Scheers, Jan M. Rabae...
We describe a novel method for real-time, simultaneous multi-view face detection and facial pose estimation. The method employs a convolutional network to map face images to point...