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» Approximation Techniques for Spatial Data
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ICPR
2006
IEEE
14 years 8 months ago
Object Localization Based on Directional Information: Case of 2D Raster Data
A directional spatial relationship to a reference object (e.g., "east of the post office") can be represented by a spatial template. The template partitions the space in...
JingBo Ni, Pascal Matsakis, Xin Wang
ICPR
2008
IEEE
14 years 8 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
ISBI
2007
IEEE
14 years 1 months ago
Segmentation of Mammosphere Structures from Volumetric Data
3D cell culture assays have emerged as the basis of an improved model system for evaluating therapeutic agents, molecular probes, and exogenous stimuli. However, there is a gap in...
Ju Han, Hang Chang, Qing Yang, Mary Helen Barcello...
WSCG
2004
245views more  WSCG 2004»
13 years 8 months ago
Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
Vania V. Estrela, Luís A. Rivera, Marcos H....
IGIS
1994
145views GIS» more  IGIS 1994»
13 years 11 months ago
Approximations for a Multi-Step Processing of Spatial Joins
The basic concept for processing spatial joins consists of two steps: First, the spatial join is performed on the minimum bounding rectangles of the objects by using a spatial acce...
Thomas Brinkhoff, Hans-Peter Kriegel