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» A Computational Model of Multidimensional Shape
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SSDBM
1999
IEEE
108views Database» more  SSDBM 1999»
14 years 10 hour ago
Supporting Imprecision in Multidimensional Databases Using Granularities
On-Line Analytical Processing (OLAP) technologies are being used widely, but the lack of effective means of handling data imprecision, which occurs when exact values are not known...
Torben Bach Pedersen, Christian S. Jensen, Curtis ...
PG
2002
IEEE
14 years 19 days ago
On-Line Graphics Recognition
A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divided the on-line graphics recognition process into f...
Xiangyu Jin, Liu Wenyin, Jianyong Sun, Zhengxing S...
CGF
2006
128views more  CGF 2006»
13 years 7 months ago
Computing discrete shape operators on general meshes
Discrete curvature and shape operators, which capture complete information about directional curvatures at a point, are essential in a variety of applications: simulation of defor...
Eitan Grinspun, Yotam I. Gingold, Jason Reisman, D...
DAGM
2006
Springer
13 years 11 months ago
Shape Matching by Variational Computation of Geodesics on a Manifold
Abstract. Klassen et al. [9] recently developed a theoretical formulation to model shape dissimilarities by means of geodesics on appropriate spaces. They used the local geometry o...
Frank R. Schmidt, Michael Clausen, Daniel Cremers
COGSCI
2010
103views more  COGSCI 2010»
13 years 7 months ago
A Computational Account of the Development of the Generalization of Shape Information
Abecassis, Sera, Yonas, and Schwade (2001) have shown that young children represent shapes more metrically, and perhaps more holistically, than do older children and adults. How d...
Leonidas A. A. Doumas, John E. Hummel