EMNLP
2010
13 years 9 months ago
2010
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
PR
2007
13 years 11 months ago
2007
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...
38
Voted
ICML
2005
IEEE
15 years 9 days ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
ICIP
2008
IEEE
15 years 1 months ago
2008
IEEE
Semi-supervised image segmentation is an important issue in many image processing applications, and has been a popular research area recently, the most popular are graph-based met...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
We consider two scenarios of naming people in databases of news photos with captions: (i) finding faces of a single person, and (ii) assigning names to all faces. We combine an in...