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» Strategies in Rigid-Variable Methods
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MTA
2006
173views more  MTA 2006»
15 years 6 months ago
Active learning in very large databases
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
Navneet Panda, Kingshy Goh, Edward Y. Chang
PR
2008
145views more  PR 2008»
15 years 6 months ago
Gesture spotting with body-worn inertial sensors to detect user activities
We present a method for spotting sporadically occurring gestures in a continuous data stream from body-worn inertial sensors. Our method is based on a natural partitioning of cont...
Holger Junker, Oliver Amft, Paul Lukowicz, Gerhard...
TOG
2008
149views more  TOG 2008»
15 years 6 months ago
Randomized cuts for 3D mesh analysis
The goal of this paper is to investigate a new shape analysis method based on randomized cuts of 3D surface meshes. The general strategy is to generate a random set of mesh segmen...
Aleksey Golovinskiy, Thomas A. Funkhouser
JUCS
2007
80views more  JUCS 2007»
15 years 6 months ago
Higher-Order Lazy Functional Slicing
: Program slicing is a well known family of techniques intended to identify and isolate code fragments which depend on, or are depended upon, specific program entities. This is pa...
Nuno F. Rodrigues, Luís Soares Barbosa
CGF
2004
114views more  CGF 2004»
15 years 6 months ago
Smooth Surface Reconstruction Using Tensor Fields as Structuring Elements
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
Marcelo Bernardes Vieira, Paulo P. Martins Jr., Ar...