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» Measuring empirical computational complexity
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FOCS
2008
IEEE
16 years 24 days ago
Learning Geometric Concepts via Gaussian Surface Area
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio
BMCBI
2008
144views more  BMCBI 2008»
15 years 6 months ago
Local conservation scores without a priori assumptions on neutral substitution rates
Background: Comparative genomics aims to detect signals of evolutionary conservation as an indicator of functional constraint. Surprisingly, results of the ENCODE project revealed...
Janis Dingel, Pavol Hanus, Niccolò Leonardi...
ICIP
2008
IEEE
16 years 8 months ago
Robust snake convergence based on dynamic programming
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
ICIP
2003
IEEE
16 years 8 months ago
Generalized pattern matching using orbit decomposition
Image Processing and Computer Vision applications often require finding a particular pattern in a set of images. The task involves finding appearances of a given pattern in an ima...
Yacov Hel-Or, Hagit Hel-Or
ISBI
2006
IEEE
16 years 7 months ago
Towards automated bioimage analysis: from features to semantics
Recent advances in bio-molecular imaging have afforded biologists a more thorough understanding of cellular functions in complex tissue structures. For example, high resolution fl...
B. S. Manjunath, Baris Sumengen, Zhiqiang Bi, Jiyu...