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ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 8 months ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott
ICCAD
1997
IEEE
121views Hardware» more  ICCAD 1997»
15 years 7 months ago
Adaptive methods for netlist partitioning
An algorithm that remains in use at the core of many partitioning systems is the Kernighan-Lin algorithm and a variant the Fidducia-Matheysses (FM) algorithm. To understand the FM...
Wray L. Buntine, Lixin Su, A. Richard Newton, Andr...
CVPR
2010
IEEE
15 years 11 months ago
Manifold Blurring Mean Shift Algorithms
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
Weiran Wang, Miguel Carreira-perpinan
DBPL
2007
Springer
158views Database» more  DBPL 2007»
15 years 7 months ago
Efficient Algorithms for the Tree Homeomorphism Problem
Tree pattern matching is a fundamental problem that has a wide range of applications in Web data management, XML processing, and selective data dissemination. In this paper we deve...
Michaela Götz, Christoph Koch, Wim Martens
ICPP
1997
IEEE
15 years 7 months ago
Automatic Partitioning of Data and Computations on Scalable Shared Memory Multiprocessors
Abstract—This paper describes an algorithm for deriving data and computation partitions on scalable shared memory multiprocessors. The algorithm establishes affinity relationshi...
Sudarsan Tandri, Tarek S. Abdelrahman