The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Robots operating in a workspace can localize themselves by querying nodes of a sensor-network deployed in the same workspace. This paper addresses the problem of computing the min...
Abstract--Variable length codes (VLCs), used in data compression, are very sensitive to error propagation in the presence of noisy channels. Addressing this problem with joint sour...
This paper addresses the rate allocation problem for wireless video streaming. Results from a simple subjective viewing test indicate that perceptually preferred allocation can be...
Abstract--This paper addresses pilot-assisted channel estimation for wireless orthogonal frequency division multiplexing (OFDM) systems with irregular pilot arrangements. Using non...