In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an eļ¬cient method to generate th...
Nathan A. Barker, Chris J. Myers, Hiroyuki Kuwahar...
Estimating the paths that moving objects can take through the ļ¬elds of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...