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» An algorithmic framework for network reconstruction
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KDD
2005
ACM
162views Data Mining» more  KDD 2005»
16 years 4 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
AVSS
2007
IEEE
15 years 10 months ago
Dense disparity estimation from omnidirectional images
This paper addresses the problem of dense estimation of disparities between omnidirectional images, in a spherical framework. Omnidirectional imaging certainly represents importan...
Zafer Arican, Pascal Frossard
GIS
2005
ACM
16 years 5 months ago
In-network surface simplification for sensor fields
Recent research literature on sensor network databases has focused on finding ways to perform in-network aggregation of sensor readings to reduce the message cost. However, with t...
Brian Harrington, Yan Huang
FPL
2009
Springer
161views Hardware» more  FPL 2009»
15 years 9 months ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
ICPP
2000
IEEE
15 years 8 months ago
A Problem-Specific Fault-Tolerance Mechanism for Asynchronous, Distributed Systems
The idle computers on a local area, campus area, or even wide area network represent a significant computational resource--one that is, however, also unreliable, heterogeneous, an...
Adriana Iamnitchi, Ian T. Foster