Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
The paper investigates the power of the dynamic complexity classes DynFO, DynQF and DynPROP over string languages. The latter two classes contain problems that can be maintained us...
Wouter Gelade, Marcel Marquardt, Thomas Schwentick
—Although capacity has been extensively studied in wireless networks, most of the results are for homogeneous wireless networks where all nodes are assumed identical. In this pap...
In this paper, we investigate how existing social networks can benefit P2P data networks by leveraging the inherent trust associated with social links. We present a trust model t...
Human vibrotactile detection experiments were used to compare temporal sinusoids displayed on three commercial haptic devices to a high-fidelity linear voice-coil actuator. The t...
Curt Salisbury, R. Brent Gillespie, Hong Z. Tan, F...