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» An improvement on learning with local and global consistency
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CVPR
2003
IEEE
14 years 10 months ago
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
TC
2008
13 years 7 months ago
RACE: A Robust Adaptive Caching Strategy for Buffer Cache
While many block replacement algorithms for buffer caches have been proposed to address the wellknown drawbacks of the LRU algorithm, they are not robust and cannot maintain a cons...
Yifeng Zhu, Hong Jiang
TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
INFOCOM
2012
IEEE
11 years 10 months ago
Approximate convex decomposition based localization in wireless sensor networks
—Accurate localization in wireless sensor networks is the foundation for many applications, such as geographic routing and position-aware data processing. An important research d...
Wenping Liu, Dan Wang, Hongbo Jiang, Wenyu Liu, Ch...
TROB
2008
154views more  TROB 2008»
13 years 6 months ago
Large-Scale SLAM Building Conditionally Independent Local Maps: Application to Monocular Vision
SLAM algorithms based on local maps have been demonstrated to be well suited for mapping large environments as they reduce the computational cost and improve the consistency of the...
Pedro Pinies, Juan D. Tardós