In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin
We present a novel approach for interactive view-dependent rendering of massive models. Our algorithm combines view-dependent simplification, occlusion culling, and out-of-core re...
Sung-Eui Yoon, Brian Salomon, Russell Gayle, Dines...
We present a set of techniques for placement-coupled, timingdriven logic replication. Two components are at the core of the approach. First is an algorithm for optimal timingdrive...
Abstract. We propose a novel method, fMRI-Informed Regional Estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spat...
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...