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BMCBI
2007
157views more  BMCBI 2007»
15 years 6 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
ICTAI
1997
IEEE
15 years 10 months ago
Prime Implicant Computation Using Satisfiability Algorithms
The computation of prime implicants has several and significant applications in different areas, including Automated Reasoning, Non-Monotonic Reasoning, Electronic Design Automati...
Vasco M. Manquinho, Paulo F. Flores, João P...
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
16 years 1 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 6 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
IPPS
2002
IEEE
15 years 11 months ago
Hierarchical Interconnects for On-Chip Clustering
In the sub-micron technology era, wire delays are becoming much more important than gate delays, making it particularly attractive to go for clustered designs. A common form of cl...
Aneesh Aggarwal, Manoj Franklin