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SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
15 years 6 months ago
Change-Point Detection using Krylov Subspace Learning
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
Tsuyoshi Idé, Koji Tsuda
NAACL
2001
15 years 6 months ago
Re-Engineering Letter-to-Sound Rules
Using finite-state automata for the text analysis component in a text-to-speech system is problematic in several respects: the rewrite rules from which the automata are compiled a...
Martin Jansche
NIPS
2001
15 years 6 months ago
Sampling Techniques for Kernel Methods
We propose randomized techniques for speeding up Kernel Principal Component Analysis on three levels: sampling and quantization of the Gram matrix in training, randomized rounding...
Dimitris Achlioptas, Frank McSherry, Bernhard Sch&...
SIMVIS
2004
15 years 6 months ago
Virtual Resection with a Deformable Cutting Plane
We describe methods for the specification and modification of virtual resections in medical volume data. These techniques are focused on applications in therapy planning, but are a...
Olaf Konrad-Verse, Arne Littmann, Bernhard Preim
NECO
2008
122views more  NECO 2008»
15 years 4 months ago
Constrained Subspace ICA Based on Mutual Information Optimization Directly
We introduce a new approach to constrained Independent Component Analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual informa...
Marc M. Van Hulle