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» Analysis of Surfaces Using Constrained Regression Models
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ACL
2007
14 years 11 months ago
HPSG Parsing with Shallow Dependency Constraints
We present a novel framework that combines strengths from surface syntactic parsing and deep syntactic parsing to increase deep parsing accuracy, specifically by combining depend...
Kenji Sagae, Yusuke Miyao, Jun-ichi Tsujii
68
Voted
WSC
2004
14 years 11 months ago
Bayesian Methods for Discrete Event Simulation
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
Stephen E. Chick
SIGGRAPH
1992
ACM
15 years 1 months ago
Variational surface modeling
We present a new approachto interactive modeling of freeform surfaces. Instead of a fixed mesh of control points, the model presented to the user is that of an infinitely malleabl...
William Welch, Andrew P. Witkin
BMVC
2002
15 years 23 hour ago
Practical Generation of Video Textures using the Auto-Regressive Process
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...
Neill W. Campbell, Colin J. Dalton, David P. Gibso...
ICPR
2006
IEEE
15 years 10 months ago
A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction
A regression model in the tensorPCA subspace is proposed in this paper for face super-resolution reconstruction. An approximate conditional probability model is used for the tenso...
Junwen Wu, Mohan M. Trivedi