Monte Carlo based SSTA serves as the golden standard against alternative SSTA algorithms, but it is seldom used in practice due to its high computation time. In this paper, we acc...
Jason Cong, Karthik Gururaj, Wei Jiang, Bin Liu, K...
In live-cell fluorescence microscopy imaging, quantitative analysis of biological image data generally involves the detection of many subresolution objects, appearing as diffract...
Ihor Smal, Marco Loog, Wiro J. Niessen, Erik H. W....
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Cloning of RFID tags can lead to financial losses in many commercial RFID applications. There are two general strategies to provide security: prevention and detection. The securit...
Mikko Lehtonen, Daniel Ostojic, Alexander Ilic, Fl...
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...