HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Modern CAD systems allow the designers to come up with powerful programmable datapaths in avery short time. The time to develop compilers for this datapaths is much longer. This p...
This paper considers arguments for the necessity of embodiment in cognitive vision systems. We begin by delineating the scope of cognitive vision, and follow this by a survey of t...
Ordering property is an important property of LSP and closely connected with the naturalness of reconstructed speech. When LSP is adopted as spectrum feature in HMM-based parametr...
In this paper we introduce the novel concept of a hybrid generating series and show that continuous state and output trajectories of bilinear hybrid systems can be described in te...