Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
Product line engineering is an emerging paradigm of developing a family of products. While product line analysis and design mainly focus on reasoning about commonality and variabi...
Today’s largest High Performance Computing (HPC) systems exceed one Petaflops (1015 floating point operations per second) and exascale systems are projected within seven years...
James Elliott, Kishor Kharbas, David Fiala, Frank ...
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
This paper presents J-MADeM, a multi-modal decision making mechanism to provide agents in a Multi-Agent Systems (MAS) with a market-based model for complex decision problems. J-MA...
Francisco Grimaldo, Miguel Lozano, Fernando Barber