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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SIGMETRICS
2009
ACM
149views Hardware» more  SIGMETRICS 2009»
14 years 2 months ago
On the treeness of internet latency and bandwidth
Existing empirical studies of Internet structure and path properties indicate that the Internet is tree-like. This work quantifies the degree to which at least two important Inte...
Venugopalan Ramasubramanian, Dahlia Malkhi, Fabian...
SIGIR
2004
ACM
14 years 1 months ago
Usefulness of hyperlink structure for query-biased topic distillation
In this paper, we introduce an information theoretic method for estimating the usefulness of the hyperlink structure induced from the set of retrieved documents. We evaluate the e...
Vassilis Plachouras, Iadh Ounis
MIR
2003
ACM
146views Multimedia» more  MIR 2003»
14 years 1 months ago
Distance measures for MPEG-7-based retrieval
In visual information retrieval the careful choice of suitable proximity measures is a crucial success factor. The evaluation presented in this paper aims at showing that the dist...
Horst Eidenberger
DSD
2004
IEEE
97views Hardware» more  DSD 2004»
13 years 11 months ago
Scene Management Models and Overlap Tests for Tile-Based Rendering
Tile-based rendering (also called chunk rendering or bucket rendering) is a promising technique for low-power, 3D graphics platforms. This technique decomposes a scene into smalle...
Iosif Antochi, Ben H. H. Juurlink, Stamatis Vassil...