A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
It is proved that several interactive proof systems are zero-knowledge against general quantum attacks. This includes the Goldreich?Micali?Wigderson classical zero-knowledge proto...
In this paper, we present a fast and eficient compilation methodology for pipeline reconfigurable architectures. Our compiler back-end is much faster than conventional CAD tools, ...
In this paper, we present and analyze a novel decoder architecture for LDPC convolutional codes (LDPCCCs). The proposed architecture enables high throughput and can be programmed ...
Marcel Bimberg, Marcos B. S. Tavares, Emil Mat&uac...
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
Emilio Maggio, Elisa Piccardo, Carlo S. Regazzoni,...