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IJON
2010
120views more  IJON 2010»
15 years 5 months ago
Semi-supervised learning with varifold Laplacians
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
Lei Ding, Peibiao Zhao
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
JMLR
2010
95views more  JMLR 2010»
15 years 1 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
ICASSP
2011
IEEE
14 years 10 months ago
Real-time DVB-S2 LDPC decoding on many-core GPU accelerators
It is well known that LDPC decoding is computationally demanding and one of the hardest signal operations to parallelize. Beyond data dependencies that restrict the decoding of a ...
Gabriel Falcão Paiva Fernandes, Joao Andrad...
RAS
2010
127views more  RAS 2010»
15 years 5 months ago
Maximum-likelihood sample-based maps for mobile robots
— The problem of representing environments of a mobile robot has been studied intensively in the past. The predominant approaches for geometric representations are gridbased or l...
Daniel Meyer-Delius, Wolfram Burgard