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» Robust kernel density estimation
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CVPR
2010
IEEE
15 years 8 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
16 years 16 days 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
15 years 5 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
15 years 3 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
15 years 1 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