We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
Abstract. This paper studies photon-limited spectral intensity estimation and proposes a spatially and spectrally adaptive, nonparametric method for estimating spectral intensities...
With the fast progress of MIMO technology and its growing applications in networks, it is important to develop techniques to enable more efficient MIMO network communications. Howe...
We present two novel algorithms for constructing spatial hierarchies on GPUs. The first is for kd-trees that automatically balances between the level of parallelism and total mem...
Qiming Hou, Xin Sun, Kun Zhou, Christian Lauterbac...
Sensor networks are unattended deeply distributed systems whose schema can be conceptualized using the relational model. Aggregation queries on the data sampled at each ode are th...