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ICIP
2007
IEEE
15 years 3 months ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
JGTOOLS
2008
189views more  JGTOOLS 2008»
14 years 11 months ago
Subtractive Shadows: A Flexible Framework for Shadow Level of Detail
Abstract. We explore the implications of reversing the process of shadow computation for real-time applications that model complex reflectance and lighting (such as that specified ...
Christopher DeCoro, Szymon Rusinkiewicz
PAMI
2008
153views more  PAMI 2008»
14 years 11 months ago
Correlation Metric for Generalized Feature Extraction
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
Yun Fu, Shuicheng Yan, Thomas S. Huang
JVCA
2007
93views more  JVCA 2007»
14 years 11 months ago
Gradient-based shell generation and deformation
Shell becomes popular in a variety of modeling techniques for representing small-scale features and increasing visual complexity. Current shell generation algorithms do not measur...
Jin Huang, Xinguo Liu, Haiyang Jiang, Qing Wang, H...
ICPR
2008
IEEE
16 years 28 days ago
Evolving boundary detectors for natural images via Genetic Programming
Boundary detection constitutes a crucial step in many computer vision tasks. We present a novel learning approach to automatically construct a boundary detector for natural images...
Ilan Kadar, Moshe Sipper, Ohad Ben-Shahar