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SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 4 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
EUROSYS
2007
ACM
16 years 3 months ago
Exploiting nonstationarity for performance prediction
Real production applications ranging from enterprise applications to large e-commerce sites share a crucial but seldom-noted characteristic: The relative frequencies of transactio...
Christopher Stewart, Terence Kelly, Alex Zhang
ALT
2004
Springer
16 years 3 months ago
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
Steffen Lange, Sandra Zilles
ICCD
2007
IEEE
183views Hardware» more  ICCD 2007»
16 years 3 months ago
Constraint satisfaction in incremental placement with application to performance optimization under power constraints
We present new techniques for explicit constraint satisfaction in the incremental placement process. Our algorithm employs a Lagrangian Relaxation (LR) type approach in the analyt...
Huan Ren, Shantanu Dutt
ICCD
2001
IEEE
121views Hardware» more  ICCD 2001»
16 years 3 months ago
Determining Schedules for Reducing Power Consumption Using Multiple Supply Voltages
Dynamic power is the main source of power consumption in CMOS circuits. It depends on the square of the supply voltage. It may significantly be reduced by scaling down the supply ...
Noureddine Chabini, El Mostapha Aboulhamid, Yvon S...
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