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ICML
2007
IEEE
16 years 2 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
BMCBI
2007
94views more  BMCBI 2007»
15 years 1 months ago
A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays
Background: Affymetrix SNP arrays can interrogate thousands of SNPs at the same time. This allows us to look at the genomic content of cancer cells and to investigate the underlyi...
Philippe Lamy, Claus L. Andersen, Lars Dyrskjot, N...
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
14 years 10 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
ISCA
2007
IEEE
130views Hardware» more  ISCA 2007»
15 years 7 months ago
Dynamic prediction of architectural vulnerability from microarchitectural state
Transient faults due to particle strikes are a key challenge in microprocessor design. Driven by exponentially increasing transistor counts, per-chip faults are a growing burden. ...
Kristen R. Walcott, Greg Humphreys, Sudhanva Gurum...
IROS
2006
IEEE
125views Robotics» more  IROS 2006»
15 years 7 months ago
Surface Recognition by Registering Data Curves from Touch
Model-based recognition of an object typically involves matching dense 3D range data. The computational cost is directly affected by the amount of data of which a transformation n...
Rinat Ibrayev, Yan-Bin Jia