of apparently conflicting results concerning the roles of lexical and contextual information in sentence processing, explains differences among ambiguities in terms of ease of resolution, and provides a more unified account of language comprehension than was previously available. One of the principal goals

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data is available but no information on the desired output. What can the goal of learning be in this situation? One possible objective is dimensionality reduction: finding a low-dimensional subspace of the input vector space containing most or all of the input data. Linear subspaces with this property

A primary goal of statistical shape analysis is to describe the variability of a population of geometric objects. A standard technique for computing such descriptions is principal component analysis. However, principal component analysis is limited in that it only works for data lying in a

ePublications@SCU is an electronic repository administered by Southern Cross University Library. Its goal is to capture and preserve the intellectual output of Southern Cross University authors and researchers, and to increase visibility and impact through open access to researchers around

Abstract. This paper has two goals. The first is to develop a variety of robust methods for the computation of the Fundamental Matrix, the calibration-free representation of camera motion. The methods are drawn from the principal categories of robust estimators, viz. case deletion diagnostics, M

are analyzed here.The goal of this survey is to provide an expandedreview of different classification techniques in data mining.

today. The need to process documents on paper by computer has led to an area of research that may be referred to as Document Image Understanding (DIU).The goal of DIU system is to convert a raster image representation of a document. For Example, A hand written Gregg shorthand character or word

Industrial coatings for wood, metal and plastic for original equipment manufacturers Coatings and inks for rigid packaging, principally food and beverage cans, for global customers Paints, varnishes and stains, primarily for the Do-It-Yourself market Coatings for refinishing vehicles High

expressions in static images containing the frontal view of the human face. Our goal is to categorize the facial expressions of the students in the given image into two basic emotional expression states – comprehensible, incomprehensible. In this paper, Facial expressions are identified from the wrinkles