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TASLP
2002
84views more  TASLP 2002»
13 years 4 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
NAACL
2007
13 years 6 months ago
Incremental Non-Projective Dependency Parsing
An open issue in data-driven dependency parsing is how to handle non-projective dependencies, which seem to be required by linguistically adequate representations, but which pose ...
Joakim Nivre
NIPS
2007
13 years 6 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
CGF
2010
148views more  CGF 2010»
13 years 5 months ago
Hardware-Assisted Projected Tetrahedra
We present a flexible and highly efficient hardware-assisted volume renderer grounded on the original Projected Tetrahedra (PT) algorithm. Unlike recent similar approaches, our me...
André Maximo, Ricardo Marroquim, Ricardo C....
CHI
2008
ACM
14 years 5 months ago
Handsaw: tangible exploration of volumetric data by direct cut-plane projection
Tangible User Interfaces are well-suited to handling threedimensional data sets by direct manipulation of real objects in space, but current interfaces can make it difficult to lo...
Leonardo Bonanni, Jason Alonso, Neil Chao, Greg Va...