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» Distributed Data Clustering Can Be Efficient and Exact
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ICC
2007
IEEE
142views Communications» more  ICC 2007»
16 years 1 months ago
Reduced-Complexity Cluster Modelling for the 3GPP Channel Model
—The realistic performance of a multi-input multi-output (MIMO) communication system depends strongly on the spatial correlation properties introduced by clustering in the propag...
Hui Xiao, Alister G. Burr, Rodrigo C. de Lamare
MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
15 years 4 months ago
Scalable Speculative Parallelization on Commodity Clusters
While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are not easily parallelized for execution upon them. In...
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, Davi...
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
15 years 10 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 1 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
ICDE
2009
IEEE
180views Database» more  ICDE 2009»
16 years 8 months ago
Outsourcing Search Services on Private Spatial Data
Social networking and content sharing service providers, e.g., Facebook and Google Maps, enable their users to upload and share a variety of user-generated content, including locat...
Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen...