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CARS
2001
15 years 3 months ago
Rendering and interaction in co-operative 3-D image analysis
Most interactive segmentation methods are defined at a 2-d level requiring sometimes extensive interaction when the object of interest is difficult to be outlined by simple means ...
Klaus D. Tönnies, Manfred Hinz, Regina Pohle
123
Voted
CVPR
2005
IEEE
16 years 3 months ago
A New Active Contour Method Based on Elastic Interaction
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods provide an effective way for segm...
Yang Xiang, Albert C. S. Chung, Jian Ye
IJCV
2011
264views more  IJCV 2011»
14 years 8 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ACL
2010
14 years 11 months ago
Learning Lexicalized Reordering Models from Reordering Graphs
Lexicalized reordering models play a crucial role in phrase-based translation systems. They are usually learned from the word-aligned bilingual corpus by examining the reordering ...
Jinsong Su, Yang Liu, Yajuan Lü, Haitao Mi, Q...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 2 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales