Data is often stored in summarized form, as a histogram of aggregates (COUNTs, SUMs, or AVeraGes) over speci ed ranges. We study how to estimate the original detail data from the ...
Christos Faloutsos, H. V. Jagadish, Nikolaos Sidir...
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
In this paper, we propose an effective algorithm flow to handle largescale mixed-size placement. The basic idea is to use floorplanning to guide the placement of objects at the gl...