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CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 5 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
ROBOCOMM
2007
IEEE
13 years 11 months ago
Distributed adaptive sampling using bounded-errors
—This paper presents a communication/coordination/ processing architecture for distributed adaptive observation of a spatial field using a fleet of autonomous mobile sensors. O...
Kévin Huguenin, Maria-João Rendas
CPC
2006
92views more  CPC 2006»
13 years 4 months ago
Increments of Random Partitions
For any partition of {1, 2, . . . , n} we define its increments Xi, 1 i n by Xi = 1 if i is the smallest element in the partition block that contains it, Xi = 0 otherwise. We pr...
Serban Nacu
IJRR
2010
114views more  IJRR 2010»
13 years 3 months ago
Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration
Abstract The problem of generating uniform deterministic samples over the rotation group, SO(3), is fundamental to many fields, such as computational structural biology, robotics,...
Anna Yershova, Swati Jain, Steven M. LaValle, Juli...
TNN
2008
105views more  TNN 2008»
13 years 4 months ago
Incremental Learning of Chunk Data for Online Pattern Classification Systems
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov