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» Spatial Computing: The TOTA Approach
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CVPR
2009
IEEE
16 years 9 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
ICCSA
2010
Springer
15 years 7 months ago
ISATEM: An Integration of Socioeconomic and Spatial Models for Mineral Resources Exploitation
In the spatial-integrated socioeconomic model field, a multi-agent approach is appropriate for supporting applications modelled at a detailed territory scale, but it is less used t...
Fenintsoa Andriamasinoro, Daniel Cassard, Bruno Ma...
EUROPAR
1998
Springer
15 years 6 months ago
Enhancing Spatial Locality via Data Layout Optimizations
This paper aims to improve locality of references by suitably choosing array layouts. We use a new definition of spatial reuse vectors that takes into account memory layout of arra...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
CVPR
2009
IEEE
16 years 9 months ago
Efficient Kernels for Identifying Unbounded-Order Spatial Features
Higher order spatial features, such as doublets or triplets have been used to incorporate spatial information into the bag-of-local-features model. Due to computational limits, ...
Yimeng Zhang (Carnegie Mellon University), Tsuhan ...
ISBI
2008
IEEE
16 years 2 months ago
Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling
Multi-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on within-subject studies, which are usually conducted using a massively univariate approach. In...
Philippe Ciuciu, Thomas Vincent, Anne-Laure Fouque...