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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
ISPD
2007
ACM
151views Hardware» more  ISPD 2007»
13 years 9 months ago
Pattern sensitive placement for manufacturability
When VLSI technology scales toward 45nm, the lithography wavelength stays at 193nm. This large gap results in strong refractive effects in lithography. Consequently, it is a huge...
Shiyan Hu, Jiang Hu
ICML
2002
IEEE
14 years 8 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
ICPR
2010
IEEE
14 years 1 months ago
Discriminative Level Set for Contour Tracking
Conventional contour tracking algorithms with level set often use generative models to construct the energy function. For tracking through cluttered and noisy background, however,...
Wei Li