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» Distributed Data Clustering Can Be Efficient and Exact
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ASPDAC
2008
ACM
89views Hardware» more  ASPDAC 2008»
15 years 8 months ago
Load scheduling: Reducing pressure on distributed register files for free
In this paper we describe load scheduling, a novel method that balances load among register files by residual resources. Load scheduling can reduce register pressure for clustered...
Mei Wen, Nan Wu, Maolin Guan, Chunyuan Zhang
ICDM
2007
IEEE
158views Data Mining» more  ICDM 2007»
16 years 1 months ago
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...
Jing Gao, Wei Fan, Jiawei Han
IPSN
2005
Springer
16 years 7 days ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden
ICDAR
2009
IEEE
16 years 1 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ICPR
2002
IEEE
15 years 11 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky