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VISUALIZATION
1998
IEEE
15 years 1 months ago
Extremal feature extraction from 3-D vector and noisy scalar fields
We are interested in feature extraction from volume data in terms of coherent surfaces and 3-D space curves. The input can be an inaccurate scalar or vector field, sampled densely...
Chi-Keung Tang, Gérard G. Medioni
71
Voted
SIGGRAPH
2010
ACM
15 years 2 months ago
Ambient point clouds for view interpolation
View interpolation and image-based rendering algorithms often produce visual artifacts in regions where the 3D scene geometry is erroneous, uncertain, or incomplete. We introduce ...
Michael Goesele, Jens Ackermann, Simon Fuhrmann, C...
JMLR
2012
13 years 1 days ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
NIPS
2008
14 years 11 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski
ISVC
2009
Springer
15 years 4 months ago
Wavelet-Based Representation of Biological Shapes
Modeling, characterization and analysis of biological shapes and forms are important in many computational biology studies. Shape representation challenges span the spectrum from s...
Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yongga...