Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
, The first decade of the World Wide Web predominantly enforced a clear separation between designers and consumers. New technological developments, such as the cyberinfrastructure ...
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
This paper describes the design goals and current status of tidier, a software tool that tidies Erlang source code, making it cleaner, simpler, and often also more efficient. In ...
In this paper, we describe a generalized approach to deriving a custom data layout in multiple memory banks for array-based computations, to facilitate high-bandwidth parallel mem...