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» Study of Challenges and Techniques in Large Scale Matching
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113
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CVPR
2006
IEEE
16 years 2 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
87
Voted
INFOCOM
2006
IEEE
15 years 6 months ago
Evaluating Mobility Pattern Space Routing for DTNs
— Because a delay tolerant network (DTN) can often be partitioned, routing is a challenge. However, routing benefits considerably if one can take advantage of knowledge concerni...
Jeremie Leguay, Timur Friedman, Vania Conan
117
Voted
ATAL
2004
Springer
15 years 6 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
MIA
2010
113views more  MIA 2010»
14 years 7 months ago
Musculoskeletal MRI segmentation using multi-resolution simplex meshes with medial representations
The automatic segmentation of the musculoskeletal system from medical images is a particularly challenging task, due to its morphological complexity, its large variability in the ...
Benjamin Gilles, Nadia Magnenat-Thalmann
GIS
2008
ACM
16 years 1 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...