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» Automated Extraction of Problem Structure
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CVPR
2009
IEEE
15 years 5 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
CIKM
2010
Springer
13 years 9 months ago
Meta-metadata: a metadata semantics language for collection representation applications
Collecting, organizing, and thinking about diverse information resources is the keystone of meaningful digital information experiences, from research to education to leisure. Meta...
Andruid Kerne, Yin Qu, Andrew M. Webb, Sashikanth ...
EGPGV
2011
Springer
366views Visualization» more  EGPGV 2011»
13 years 2 months ago
GPU Algorithms for Diamond-based Multiresolution Terrain Processing
We present parallel algorithms for processing, extracting and rendering adaptively sampled regular terrain datasets represented as a multiresolution model defined by a super-squa...
M. Adil Yalçin, Kenneth Weiss, Leila De Flo...
TCBB
2011
13 years 5 months ago
Semantics and Ambiguity of Stochastic RNA Family Models
Stochastic models such as hidden Markov models or stochastic context free grammars can fail to return the correct, maximum likelihood solution in the case of semantic ambiguity. T...
Robert Giegerich, Christian Höner zu Siederdi...
GIS
2007
ACM
14 years 11 months ago
TerraStream: from elevation data to watershed hierarchies
We consider the problem of extracting a river network and a watershed hierarchy from a terrain given as a set of irregularly spaced points. We describe TerraStream, a "pipeli...
Andrew Danner, Thomas Mølhave, Ke Yi, Panka...