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» Robust kernel density estimation
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CVPR
2010
IEEE
14 years 6 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
ISBI
2008
IEEE
14 years 10 months ago
Robust maximum likelihood estimation in Q-space MRI
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
Bennett A. Landman, Jonathan A. D. Farrell, Seth A...
IPSN
2005
Springer
14 years 3 months ago
Rope: robust position estimation in wireless sensor networks
— We address the problem of secure location determination, known as Secure Localization, and the problem of verifying the location claim of a node, known as Location Verificatio...
Loukas Lazos, Radha Poovendran, Srdjan Capkun
ICPR
2000
IEEE
14 years 1 months ago
Rough Histograms for Robust Statistics
Applied statistics are widely used in pattern recognition and other computing applications tofind the most likely value of a parameter. The use of classical empirical statistics i...
Olivier Strauss, Frederic Comby, Marie-José...
NIPS
2000
13 years 11 months ago
Kernel Expansions with Unlabeled Examples
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
Martin Szummer, Tommi Jaakkola