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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 6 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
CORR
2006
Springer
110views Education» more  CORR 2006»
15 years 3 months ago
Methods for Partitioning Data to Improve Parallel Execution Time for Sorting on Heterogeneous Clusters
The aim of the paper is to introduce general techniques in order to optimize the parallel execution time of sorting on a distributed architectures with processors of various speeds...
Christophe Cérin, Jean-Christophe Dubacq, J...
133
Voted
VMCAI
2007
Springer
15 years 9 months ago
Invariant Synthesis for Combined Theories
We present a constraint-based algorithm for the synthesis of invariants expressed in the combined theory of linear arithmetic and uninterpreted function symbols. Given a set of pro...
Dirk Beyer, Thomas A. Henzinger, Rupak Majumdar, A...
98
Voted
MPC
2004
Springer
116views Mathematics» more  MPC 2004»
15 years 8 months ago
An Injective Language for Reversible Computation
Abstract. Erasure of information incurs an increase in entropy and dissipates heat. Therefore, information-preserving computation is essential for constructing computers that use e...
Shin-Cheng Mu, Zhenjiang Hu, Masato Takeichi
151
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs