1077 search results - page 111 / 216 » Learning network structure from passive measurements |
ECCV
2002
Springer
15 years 1 days ago
2002
Springer
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
IPTPS
2004
Springer
14 years 3 months ago
2004
Springer
Popular P2P file-sharing systems like Gnutella and Kazaa use unstructured network designs. These networks typically adopt flooding-based search techniques to locate files. Whil...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
CSB
2003
IEEE
14 years 3 months ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...