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ICCV
2003
IEEE
14 years 10 months ago
Weighted and Robust Incremental Method for Subspace Learning
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
Danijel Skocaj, Ales Leonardis
DAC
2008
ACM
14 years 9 months ago
The synthesis of robust polynomial arithmetic with stochastic logic
As integrated circuit technology plumbs ever greater depths in the scaling of feature sizes, maintaining the paradigm of deterministic Boolean computation is increasingly challeng...
Weikang Qian, Marc D. Riedel
FPGA
2006
ACM
90views FPGA» more  FPGA 2006»
14 years 14 days ago
Improving performance and robustness of domain-specific CPLDs
Many System-on-a-Chip devices would benefit from the inclusion of reprogrammable logic on the silicon die, as it can add general computing ability, provide run-time reconfigurabil...
Mark Holland, Scott Hauck
ICASSP
2009
IEEE
14 years 20 days ago
Design of robust superdirective beamformers as a convex optimization problem
Broadband data-independent beamforming designs aiming at constant beamwidth often lead to superdirective beamformers for low frequencies, if the sensor spacing is small relative t...
Edwin Mabande, Adrian Schad, Walter Kellermann

Publication
151views
12 years 7 months ago
Robust Bayesian reinforcement learning through tight lower bounds
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
Christos Dimitrakakis