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» On Computing Functions with Uncertainty
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EMMCVPR
2011
Springer
14 years 6 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
EUROCRYPT
2008
Springer
15 years 8 months ago
Obfuscating Point Functions with Multibit Output
We study obfuscation of point functions with multibit output and other related functions. A point function with multibit output returns a string on a single input point and zero ev...
Ran Canetti, Ronny Ramzi Dakdouk
VLSID
1996
IEEE
135views VLSI» more  VLSID 1996»
15 years 11 months ago
Cubical CAMP for minimization of Boolean functions
The paper presents QCAMP, a cube-based algorithm for minimization of single Boolean functions. The algorithm does not generate all the prime cubes, nor does it require the Off-set...
Nripendra N. Biswas, C. Srikanth, James Jacob
DAC
2003
ACM
16 years 7 months ago
Symbolic representation with ordered function templates
Binary Decision Diagrams (BDDs) often fail to exploit sharing between Boolean functions that differ only in their support variables. In a memory circuit, for example, the function...
Amit Goel, Gagan Hasteer, Randal E. Bryant
AAAI
2006
15 years 8 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone