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ECCV
2006
Springer
15 years 10 months ago
Nonparametric Estimation of Multiple Structures with Outliers
Common problem encountered in the analysis of dynamic scene is the problem of simultaneous estimation of the number of models and their parameters. This problem becomes difficult a...
Wei Zhang, Jana Kosecká
AAAI
2007
15 years 9 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
CIKM
2008
Springer
15 years 8 months ago
Proactive learning: cost-sensitive active learning with multiple imperfect oracles
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
Pinar Donmez, Jaime G. Carbonell
ASPDAC
2005
ACM
102views Hardware» more  ASPDAC 2005»
15 years 8 months ago
A framework for automated and optimized ASIP implementation supporting multiple hardware description languages
— Architecture Description Languages (ADLs) are widely used to perform design space exploration for Application Specific Instruction Set Processors (ASIPs). While the design spa...
Oliver Schliebusch, Anupam Chattopadhyay, David Ka...
AAAI
2010
15 years 8 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...