New large deviations results that characterize the asymptotic information rates for general d-dimensional (d-D) stationary Gaussian fields are obtained. By applying the general results to sensor nodes on a twodimensional (2-D) lattice, the asymptotic behavior of ad hoc sensor networks deployed over correlated random fields for statistical inference is investigated. Under a 2-D hidden Gauss-Mark...

Abstract Given a node-attributed graph, how can we efficiently represent it with few numerical features that expressively reflect its topology and attribute information? We propose A-DOGE , for attributed DOS-based graph embedding, based on density of states (DOS, a.k.a. spectral density) to tackle this problem. is designed fulfill long desiderata desirable characteristics. Most notably, capita...

plant population density (ppd) and nitrogen (n) have large effects on chickpea growth and yield. to study these effects on chickpea (var. kourosh) a factorial experiment (4×3) in randomized complete block design with four replications was carried out at research farm of college of agriculture & natural science, karaj (iran) in 2006. four ppd treatments were 16, 32, 48 and 64 plant m-2 and n amo...

OBJECTIVE To assessment the role of preoperative neutrophil-lymphocyte ratio and postoperative lymph node density in predicting prognosis in patients undergoing radical cystectomy for bladder cancer. MATERIAL AND METHODS Preoperatively, neutrophil and lymphocyte counts as well as neutrophil-lymphocyte ratios were recorded in 201 patients who underwent radical cystectomy for bladder cancer. Pa...

a prescribed node p, nd the maximum density subgraph which contains node p. This can be solved using the 0 ? 1 fractional programming technique in 24] by assigning the variable corresponding to p to 1, and transforming the resulting fractional expression to a series of ow computations. Max-Density Subgraph with Excluded Node problem : Given a hypergraph H(V; E) and a prescribed node p, nd the m...