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MCS
2004
Springer
14 years 1 months ago
Experiments on Ensembles with Missing and Noisy Data
Abstract. One of the potential advantages of multiple classifier systems is an increased robustness to noise and other imperfections in data. Previous experiments on classificati...
Prem Melville, Nishit Shah, Lilyana Mihalkova, Ray...
BMCBI
2006
116views more  BMCBI 2006»
13 years 7 months ago
Integrative missing value estimation for microarray data
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
Jianjun Hu, Haifeng Li, Michael S. Waterman, Xiang...
DATE
2008
IEEE
171views Hardware» more  DATE 2008»
14 years 2 months ago
Cache Aware Mapping of Streaming Applications on a Multiprocessor System-on-Chip
Efficient use of the memory hierarchy is critical for achieving high performance in a multiprocessor systemon-chip. An external memory that is shared between processors is a bottl...
Arno Moonen, Marco Bekooij, Rene van den Berg, Jef...
IJDMMM
2008
124views more  IJDMMM 2008»
13 years 7 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...
ECCV
2002
Springer
14 years 9 months ago
Linear Multi View Reconstruction with Missing Data
General multi view reconstruction from affine or projective cameras has so far been solved most efficiently using methods of factorizing image data matrices into camera and scene p...
Carsten Rother, Stefan Carlsson