Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
While NoCs are efficient in delivering high throughput point-to-point traffic, their multi-hop operation is too slow for latency sensitive signals. In addition, NoCS are inefficie...
Ran Manevich, Isask'har Walter, Israel Cidon, Avin...
Recent remarkable advances in nanoscale siliconphotonic integrated circuitry specifically compatible with CMOS fabrication have generated new opportunities for leveraging the uni...
Research on Networks on Chips (NoCs) has spanned over a decade and its results are now visible in some products. Thus the seminal idea of using networking technology to address th...
Giovanni De Micheli, Ciprian Seiculescu, Srinivasa...
An efficient decoding algorithm is a crucial element of any statistical machine translation system. Some researchers have noted certain similarities between SMT decoding and the f...
Mikhail Zaslavskiy, Marc Dymetman, Nicola Cancedda