We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array ele...
Per Gunnar Kjeldsberg, Francky Catthoor, Sven Verd...
The increasing performance and decreasing cost of processors and memory are causing system intelligence to move into peripherals from the CPU. Storage system designers are using t...
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
An architectural solution to reducing memory energy consumption is to adopt a multi-bank memory system instead of a monolithic (single-bank) memory system. Some recent multi-bank ...
Victor De La Luz, Mahmut T. Kandemir, Ibrahim Kolc...