Future devices for the Internet of Things will require communication systems that can deliver higher data rates at low power.
We present a system for 3D face reconstruction that is based on live depth information combined with face priors.
A priori tests of two dynamic subgrid-scale (SGS) turbulence models have been performed using a highly resolved direct numerical simulation database for the case of turbulent incompressible flow in
In this paper, we investigate the problem of energy saving (ES) for wireless access networks, especially for the inter-eNB scenario 2 which is a typical non-overlapped scenario specified by 3GPP.
In this paper, based upon a probabilistic acoustic map (PAM) framework, we propose a discriminative Hidden Markov Model (HMM) training procedure.
We test for beta -conformance of an implementation linear operator A to a specification linear operator S where the operator domain and range are separable Hilbert spaces and the domain space F is
In wireless sensor networks, many communication protocols and applications rely on flooding for various networking purposes.
Renewal theory is a powerful tool in the analysis of source codes. In this paper, we use renewal theory to obtain some asymptotic properties of finite-state noiseless channels.
We propose a probabilistic distance measure for measuring the dissimilarity between pairs of hidden Markov models with arbitrary observation densities.
We consider the problem of selecting the kth largest of n inputs, where initially the inputs are stored in the n leaf processors of the 2n - 1 processor tree machine.
