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» Using Data Mining to Estimate Missing Sensor Data
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ACCV
2009
Springer
16 years 25 days ago
Robust Focal Length Estimation by Voting in Multi-view Scene Reconstruction
We propose a new robust focal length estimation method in multi-view structure from motion from unordered data sets, e.g. downloaded from the Flickr database, where jpeg-exif heade...
Martin Bujnak, Zuzana Kukelova, Tomás Pajdl...
ECCV
2002
Springer
16 years 8 months ago
Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry
We present a new method for the detection and estimation of multiple illuminants, using one image of any object with known geometry and Lambertian reflectance. Our method obviates ...
Yang Wang, Dimitris Samaras
SDM
2012
SIAM
208views Data Mining» more  SDM 2012»
13 years 8 months ago
Mining Massive Archives of Mice Sounds with Symbolized Representations
Many animals produce long sequences of vocalizations best described as “songs.” In some animals, such as crickets and frogs, these songs are relatively simple and repetitive c...
Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, K...
ISCC
2006
IEEE
112views Communications» more  ISCC 2006»
16 years 7 days ago
The Precision and Energetic Cost of Snapshot Estimates in Wireless Sensor Networks
— Even for a specific application, the design space of wireless sensor networks is enormous, and traditional disciplinary boundaries are disappearing in the search for efficien...
Paul G. Flikkema
NIPS
1998
15 years 7 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland