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IJHPCA
2008
104views more  IJHPCA 2008»
15 years 6 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
JVCIR
2006
280views more  JVCIR 2006»
15 years 6 months ago
Error resiliency schemes in H.264/AVC standard
Real-time transmission of video data in network environments, such as wireless and Internet, is a challenging task, as it requires high compression efficiency and network friendly...
Sunil Kumar, Liyang Xu, Mrinal K. Mandal, Sethuram...
BMCBI
2005
88views more  BMCBI 2005»
15 years 6 months ago
Analysis of concordance of different haplotype block partitioning algorithms
Background: Different classes of haplotype block algorithms exist and the ideal dataset to assess their performance would be to comprehensively re-sequence a large genomic region ...
Amit R. Indap, Gabor T. Marth, Craig A. Struble, P...
EGH
2009
Springer
15 years 4 months ago
Efficient stream compaction on wide SIMD many-core architectures
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...
Markus Billeter, Ola Olsson, Ulf Assarsson
INTERSPEECH
2010
15 years 1 months ago
Fully automatic segmentation for prosodic speech corpora
While automatic methods for phonetic segmentation of speech can help with rapid annotation of corpora, most methods rely either on manually segmented data to initially train the p...
Sarah Hoffmann, Beat Pfister