Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Multimedia retrieval is going to play an increasingly important role in the future. Since the availability of digital media seems ever rising, not only the retrieval performance i...
Abstract: We propose a hyperspectral image compressor called BH which considers its input image as being partitioned into square blocks, each lying entirely within a particular ban...
We present a streaming compression algorithm for huge time-varying aerial imagery. New airborne optical sensors are capable of collecting billion-pixel images at multiple frames p...
Christopher S. Co, Mark A. Duchaineau, Kenneth I. ...
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...