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ICML
2008
IEEE
14 years 10 months ago
Large scale manifold transduction
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
Michael Karlen, Jason Weston, Ayse Erkan, Ronan Co...
ICIP
2007
IEEE
14 years 4 months ago
Skeletonization using SSM of the Distance Transform
This paper proposes a new approach for skeletonization based on the skeleton strength map (SSM) caculated by Euclidean distance transform of a binary image. After the distance tra...
Longin Jan Latecki, Quannan Li, Xiang Bai, Wenyu L...
VTC
2006
IEEE
115views Communications» more  VTC 2006»
14 years 3 months ago
Suboptimal Maximum Likelihood Detection Using Gradient-based Algorithm for MIMO Channels
Abstract— This paper proposes a suboptimal maximum likelihood detection (MLD) algorithm for multiple-input multipleoutput (MIMO) communications. The proposed algorithm regards tr...
Thet Htun Khine, Kazuhiko Fukawa, Hiroshi Suzuki
JMLR
2012
12 years 10 days ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
VISUALIZATION
2000
IEEE
14 years 2 months ago
A continuous clustering method for vector fields
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Harald Garcke, Tobias Preußer, Martin Rumpf,...