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ICPR
2008
IEEE
15 years 11 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
ICC
2007
IEEE
134views Communications» more  ICC 2007»
15 years 11 months ago
Linear Cooperative Multiuser MIMO Transceiver Design with Per BS Power Constraints
— Joint cooperative processing of transmitted signal from several multiple-input multiple-output (MIMO) base station (BS) antenna heads is considered for users located within a s...
Antti Tölli, Marian Codreanu, Markku J. Juntt...
ECML
2007
Springer
15 years 10 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
ICANN
2003
Springer
15 years 10 months 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 ...
ISAAC
2003
Springer
144views Algorithms» more  ISAAC 2003»
15 years 10 months ago
Biconnectivity on Symbolically Represented Graphs: A Linear Solution
Abstract. We define an algorithm for determining, in a linear number of symbolic steps, the biconnected components of a graph implicitly represented with Ordered Binary Decision D...
Raffaella Gentilini, Alberto Policriti