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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 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
VLSID
2004
IEEE
170views VLSI» more  VLSID 2004»
14 years 9 months ago
On-chip networks: A scalable, communication-centric embedded system design paradigm
As chip complexity grows, design productivity boost is expected from reuse of large parts and blocks of previous designs with the design effort largely invested into the new parts...
Jörg Henkel, Srimat T. Chakradhar, Wayne Wolf
VLDB
2005
ACM
109views Database» more  VLDB 2005»
14 years 9 months ago
Model-based approximate querying in sensor networks
Abstract Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that "the sensornet is a database" i...
Amol Deshpande, Carlos Guestrin, Samuel Madden, Jo...
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 9 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
SIGMOD
2005
ACM
178views Database» more  SIGMOD 2005»
14 years 8 months ago
Towards Effective Indexing for Very Large Video Sequence Database
With rapid advances in video processing technologies and ever fast increments in network bandwidth, the popularity of video content publishing and sharing has made similarity sear...
Heng Tao Shen, Beng Chin Ooi, Xiaofang Zhou
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