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TIP
2011
162views more  TIP 2011»
14 years 5 months ago
Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
Allan Aasbjerg Nielsen
GLOBECOM
2008
IEEE
15 years 4 months ago
A Maximum-Likelihood Decoder with a New Reduction Strategy for MIMO Channel Systems
—An efficient maximum-likelihood decoder with a new reduction strategy is proposed for linear MIMO channel systems. Unlike the current reduction strategies which only reorder th...
Xiao-Wen Chang, Xiaohua Yang
ISSAC
2007
Springer
94views Mathematics» more  ISSAC 2007»
15 years 4 months ago
Solving toeplitz- and vandermonde-like linear systems with large displacement rank
Linear systems with structures such as Toeplitz-, Vandermonde- or Cauchy-likeness can be solved in O˜(α2 n) operations, where n is the matrix size, α is its displacement rank, ...
Alin Bostan, Claude-Pierre Jeannerod, Éric ...
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
14 years 8 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
TIP
2010
154views more  TIP 2010»
14 years 8 months ago
Projective Nonnegative Graph Embedding
—We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding (PNGE), which 1) explicitly decomposes the data ...
Xiaobai Liu, Shuicheng Yan, Hai Jin