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CPM
2009
Springer
121views Combinatorics» more  CPM 2009»
14 years 2 months ago
LCS Approximation via Embedding into Local Non-repetitive Strings
A classical measure of similarity between strings is the length of the longest common subsequence(LCS) between the two given strings. The search for efficient algorithms for findi...
Gad M. Landau, Avivit Levy, Ilan Newman
ICPR
2002
IEEE
14 years 8 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
FSTTCS
2005
Springer
14 years 1 months ago
Extending Howe's Method to Early Bisimulations for Typed Mobile Embedded Resources with Local Names
We extend Howe’s method to prove that input-early strong and -delay contextual bisimulations are congruences for the Higher-order mobile embedded resources (Homer) calculus, a ty...
Jens Chr. Godskesen, Thomas T. Hildebrandt
PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
14 years 1 months ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
ICANN
2003
Springer
14 years 23 days ago
Supervised Locally Linear Embedding
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti ...