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» Learning from Highly Structured Data by Decomposition
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JAISE
2010
182views Algorithms» more  JAISE 2010»
14 years 4 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson
SIAMCOMP
2011
14 years 5 months ago
The Chow Parameters Problem
Abstract. In the 2nd Annual FOCS (1961), Chao-Kong Chow proved that every Boolean threshold function is uniquely determined by its degree-0 and degree-1 Fourier coefficients. These...
Ryan O'Donnell, Rocco A. Servedio
ISCAPDCS
2007
14 years 11 months ago
Architectural requirements of parallel computational biology applications with explicit instruction level parallelism
—The tremendous growth in the information culture, efficient digital searches are needed to extract and identify information from huge data. The notion that evolution in silicon ...
Naeem Zafar Azeemi
ACMACE
2008
ACM
15 years 23 hour ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
TOG
2012
266views Communications» more  TOG 2012»
13 years 13 days ago
Structure-aware synthesis for predictive woven fabric appearance
Woven fabrics have a wide range of appearance determined by their small-scale 3D structure. Accurately modeling this structural detail can produce highly realistic renderings of f...
Shuang Zhao, Wenzel Jakob, Steve Marschner, Kavita...