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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...
SMA
2008
ACM
155views Solid Modeling» more  SMA 2008»
15 years 6 months ago
Filament tracking and encoding for complex biological networks
We present a framework for segmenting and storing filament networks from scalar volume data. Filament structures are commonly found in data generated using high-throughput microsc...
David Mayerich, John Keyser