Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participa...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participati...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...
This paper investigates the energy-saving organization of sensor nodes in large wireless sensor networks. Due to a random deployment used in many application scenarios, much more n...
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...