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» A Clustering Algorithm Based Absorbing Nearest Neighbors
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PPOPP
2010
ACM
14 years 4 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
MM
2009
ACM
221views Multimedia» more  MM 2009»
14 years 2 months ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
TKDE
2011
168views more  TKDE 2011»
13 years 2 months ago
On Computing Farthest Dominated Locations
—In reality, spatial objects (e.g., hotels) not only have spatial locations but also have quality attributes (e.g., price, star). An object p is said to dominate another one p , ...
Hua Lu, Man Lung Yiu
AI
2005
Springer
14 years 1 months ago
Instance Cloning Local Naive Bayes
The instance-based k-nearest neighbor algorithm (KNN)[1] is an effective classification model. Its classification is simply based on a vote within the neighborhood, consisting o...
Liangxiao Jiang, Harry Zhang, Jiang Su
TIP
2010
97views more  TIP 2010»
13 years 2 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...