Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Discrete wavelet transform has been incorporated as part of the JPEG2000 image compression standard and is being deployed in various portable consumer products. This raises the in...
Yong Liu, Edmund Ming-Kit Lai, A. Benjamin Premkum...
NLP systems for tasks such as question answering and information extraction typically rely on statistical parsers. But the efficacy of such parsers can be surprisingly low, partic...
Alexander Yates, Stefan Schoenmackers, Oren Etzion...
In this study, the problem of updating a printer characterization in response to systematic changes in print-device characteristics is addressed with two distinct approaches: the ...