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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
MOBIHOC
2004
ACM
14 years 7 months ago
Rate allocation in wireless sensor networks with network lifetime requirement
An important performance consideration for wireless sensor networks is the amount of information collected by all the nodes in the network over the course of network lifetime. Sin...
Yiwei Thomas Hou, Yi Shi, Hanif D. Sherali
VRCAI
2004
ACM
14 years 1 months ago
A novel approach to extract triangle strips for iso-surfaces in volumes
The Marching Cubes (MC) algorithm is a popular approach to extract iso-surfaces from volumetric data. This approach extracts triangles from the volume data for a specific iso-valu...
Jagannathan Lakshmipathy, Wieslaw L. Nowinski, Eri...
MM
2010
ACM
271views Multimedia» more  MM 2010»
13 years 5 months ago
Large-scale music tag recommendation with explicit multiple attributes
Social tagging can provide rich semantic information for largescale retrieval in music discovery. Such collaborative intelligence, however, also generates a high degree of tags un...
Zhendong Zhao, Xinxi Wang, Qiaoliang Xiang, Andy M...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 9 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar