In this paper, variable bit rate (VBR) H.261 encoded video traffic is modeled by a nonlinear time series process. A threshold autoregressive (TAR) process is of particular interes...
Jimmie L. Davis, Kavitha Chandra, Charles Thompson
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
A recent trend in Ubiquitous Computing is that embedded software (e.g. in production machines, wired or wireless networked sensors and actuators, or RFID readers) directly offers W...
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
—In this paper, a novel approach for implementing Tamil isolated speech phoneme recognition is described. While most of the literature on Automatic Speech Recognition (ASR) is ba...
Arumugam Rathinavelu, Anupriya Rajkumar, A. S. Mut...