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TSP
2010
14 years 4 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
VRML
2000
ACM
15 years 2 months ago
Using VRML in construction industry applications
This paper describes initial research using the Virtual Reality Modeling Language (VRML97) in construction industry applications. The modeling of steel structures and construction...
Robert Lipman, Kent Reed
PAMI
2010
181views more  PAMI 2010»
14 years 8 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
EUROGRAPHICS
2010
Eurographics
15 years 6 months ago
Fitted BVH for Fast Raytracing of Metaballs
Raytracing metaballs is a problem that has numerous applications in the rendering of dynamic soft objects such as fluids. However, current techniques are either limited in the vi...
Olivier Gourmel, Anthony Pajot, Mathias Paulin, Lo...
IJCNLP
2005
Springer
15 years 3 months ago
Empirical Study of Utilizing Morph-Syntactic Information in SMT
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...
Young-Sook Hwang, Taro Watanabe, Yutaka Sasaki