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» Spatial Computing: The TOTA Approach
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CVPR
2009
IEEE
16 years 10 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...
100
Voted
ICCSA
2010
Springer
15 years 8 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 7 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...
132
Voted
CVPR
2009
IEEE
16 years 10 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 4 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...