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» Aligning Class Hierarchies with Grass-Roots Class Alignment
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SIGDIAL
2010
13 years 6 months ago
Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding
Incremental natural language understanding is the task of assigning semantic representations to successively larger prefixes of utterances. We compare two types of statistical mod...
Silvan Heintze, Timo Baumann, David Schlangen
SMI
2007
IEEE
129views Image Analysis» more  SMI 2007»
14 years 3 months ago
Automatic 2D Shape Orientation by Example
As large shape repositories become more common, the problem of automatically generating good views of shapes has recently gained prominence. However, very few of the proposed meth...
Waqar Saleem, Danyi Wang, Alexander G. Belyaev, Ha...
CVPR
2008
IEEE
14 years 11 months ago
Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to...
Diana Mateus, Radu Horaud, David Knossow, Fabio Cu...
RECOMB
2002
Springer
14 years 9 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
ECCV
2008
Springer
14 years 11 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...