In this work, we address investment decisions in production systems by using real options. As is standard in literature, the stochastic variable is assumed to be normally distribu...
We address how listeners perceive temporal regularity in music performances, which are rich in temporal irregularities. A computational model is described in which a small system ...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
Attribute staleness arises due to the physical distribution of authorization information, decision and enforcement points. This is a fundamental problem in virtually any secure di...
Ram Krishnan, Jianwei Niu, Ravi S. Sandhu, William...