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BMCBI
2010
113views more  BMCBI 2010»
13 years 8 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
VLSISP
2008
104views more  VLSISP 2008»
13 years 8 months ago
Guidance of Loop Ordering for Reduced Memory Usage in Signal Processing Applications
Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array ele...
Per Gunnar Kjeldsberg, Francky Catthoor, Sven Verd...
ICCAD
1994
IEEE
105views Hardware» more  ICCAD 1994»
14 years 1 months ago
Register assignment through resource classification for ASIP microcode generation
Application Specific Instruction-Set Processors (ASIPs) offer designers the ability for high-speed data and control processing with the added flexibility needed for late design sp...
Clifford Liem, Trevor C. May, Pierre G. Paulin
TNN
2010
176views Management» more  TNN 2010»
13 years 3 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
BMCBI
2005
163views more  BMCBI 2005»
13 years 8 months ago
CoaSim: A flexible environment for simulating genetic data under coalescent models
Background: Coalescent simulations are playing a large role in interpreting large scale intraspecific sequence or polymorphism surveys and for planning and evaluating association ...
Thomas Mailund, Mikkel H. Schierup, Christian N. S...