We explore the feasibility of muscle-computer interfaces (muCIs): an interaction methodology that directly senses and decodes human muscular activity rather than relying on physic...
T. Scott Saponas, Desney S. Tan, Dan Morris, Ravin...
Abstract. We consider the problem of efficient approximate learning by multilayered feedforward circuits subject to two objective functions. First, we consider the objective to ma...
Applications that provide location-based experiences are an increasingly viable design space given the proliferation of GPS-enabled mobile devices. However, these applications are...
Carman Neustaedter, Anthony Tang, Tejinder K. Judg...
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
Abstract. Taking neuromodulation as a mechanism underlying emotions, this paper investigates how such a mechanism can bias an artificial neural network towards exploration of new ...