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Stochastic Optimization of Floating Point Programs with Tunable Precision
64-bit x86 x86-64, Binary Markov Chain Monte Carlo MCMC Stochastic Search SMT Floating-Point Precision
2016/5/24
The aggressive optimization of floating-point computations is an important problem in high-performance computing. Unfortunately,floating-point instruction sets have complicated semantics that often fo...
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
Granularity-tunable Gradients Partition GGP Descriptors Human Detection
2013/7/16
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection.The concept granularity is used to define the spatial and angular uncertainty of the lin...