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» An Approach to Requirements Encapsulation with Clustering
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ACL
2008
15 years 3 months ago
Simple Semi-supervised Dependency Parsing
We present a simple and effective semisupervised method for training dependency parsers. We focus on the problem of lexical representation, introducing features that incorporate w...
Terry Koo, Xavier Carreras, Michael Collins
138
Voted
SDM
2007
SIAM
201views Data Mining» more  SDM 2007»
15 years 3 months ago
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis ...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
VMV
2008
120views Visualization» more  VMV 2008»
15 years 3 months ago
Thinning Mesh Animations
Three-dimensional animation sequences are often represented by a discrete set of compatible triangle meshes. In order to create the illusion of a smooth motion, a sequence usually...
Tim Winkler, Jens Drieseberg, Kai Hormann, Alexand...
DGO
2003
79views Education» more  DGO 2003»
15 years 3 months ago
Finding Outliers in Models of Spatial Data
Statistical models fit to data often require extensive and challenging re-estimation before achieving final form. For example, outliers can adversely affect fits. In other cas...
David W. Scott, J. Blair Christian
121
Voted
CGF
2008
200views more  CGF 2008»
15 years 1 months ago
Deep Opacity Maps
We present a new method for rapidly computing shadows from semi-transparent objects like hair. Our deep opacity maps method extends the concept of opacity shadow maps by using a d...
Cem Yuksel, John Keyser