Sciweavers

354 search results - page 44 / 71
» Recovery Rate of Clustering Algorithms
Sort
View
CVPR
2010
IEEE
15 years 11 months ago
An automatic unsupervised classification of MR images in Alzheimer's disease
Image-analysis methods play an important role in helping detect brain changes in and diagnosis of Alzheimer's Disease (AD). In this paper, we propose an automatic unsupervised...
Xiaojing Long
ICDCS
2010
IEEE
15 years 7 months ago
P2P Streaming Capacity under Node Degree Bound
—Two of the fundamental problems in peer-to-peer (P2P) streaming are as follows: what is the maximum streaming rate that can be sustained for all receivers, and what peering algo...
Shao Liu, Minghua Chen, Sudipta Sengupta, Mung Chi...
ECCV
2008
Springer
16 years 5 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
CVPR
2009
IEEE
16 years 10 months ago
A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D Li- DAR data typically has no texture information. To generate photo-rea...
Lu Wang, Ulrich Neumann
ICIP
2009
IEEE
16 years 4 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...