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The lexical nature of syntactic ambiguity resolution

by Maryellen C Macdonald, Neal J Pearlmutter, Mark S Seidenberg - Psychological Review , 1994
"... Ambiguity resolution is a central problem in language comprehension. Lexical and syntactic ambiguities are standardly assumed to involve different types of knowledge representations and be resolved by different mechanisms. An alternative account is provided in which both types of ambiguity derive fr ..."
Abstract - Cited by 557 (24 self) - Add to MetaCart
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

PURPOSE The principal goal of the electronic Primary Care Research Network

by unknown authors
"... ..."
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Abstract not found

A Growing Neural Gas Network Learns Topologies

by Bernd Fritzke - Advances in Neural Information Processing Systems 7 , 1995
"... An incremental network model is introduced which is able to learn the important topological relations in a given set of input vectors by means of a simple Hebb-like learning rule. In contrast to previous approaches like the "neural gas" method of Martinetz and Schulten (1991, 1994), this m ..."
Abstract - Cited by 401 (5 self) - Add to MetaCart
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

Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape

by P. Thomas Fletcher, Conglin Lu, Stephen M. Pizer, Sarang Joshi - TO APPEAR IEEE TRANSACTIONS ON MEDICAL IMAGING , 2004
"... 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 Euclidean ..."
Abstract - Cited by 181 (33 self) - Add to MetaCart
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

Principal

by Southern Cross, Business School, Devi Ranasinghe, Peter Miller, Devi Ranasinghe , 2006
"... 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 the world ..."
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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

The development and comparison of robust methods for estimating the fundamental matrix

by P. H. S. Torr, D. W. Murray - International Journal of Computer Vision , 1997
"... 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-est ..."
Abstract - Cited by 266 (10 self) - Add to MetaCart
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

Principal

by Dr. R. Nallusamy
"... Abstract- Data mining is a process of extracting the knowledge pattern from large data.Classification is a technique which used to predict the group membership for data sets.There are various techniques such asSupport Vector Machine, Bayesian networks and the k-nearest neighbor classifier are analyz ..."
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are analyzed here.The goal of this survey is to provide an expandedreview of different classification techniques in data mining.

Principal

by R. Rajasekaran, Tharuvai Tirunelveli, K. Ramar
"... Gregg shorthand is a form of stenography that was invented by John Robert Gregg in 1888. Like cursive longhand, it is completely based on elliptical figures and lines that bisect them. Gregg shorthand is the most popular form of pen stenography in the United States and its Spanish adaptation is fair ..."
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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

Goal

by Sean Schubert, Boston Ma, Key Question
"... 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 performanc ..."
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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

Principal

by Dr. M. Mohamed Sathik, Tirunelveli India
"... Facial expressions play an essential role in communications in social interactions with other human beings which deliver rich information about their emotions. Here, we propose an efficient method for identifying the expressions of the students to recognize their comprehension from the facial expres ..."
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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
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