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98
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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
14 years 11 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
PRICAI
2004
Springer
15 years 2 months ago
Pronominal Anaphora Resolution Using a Shallow Meaning Representation of Sentences
This paper describes a knowledge-poor anaphora resolution approach based on a shallow meaning representation of sentences. The structure afforded in such a representation provides ...
Hilda Ho, Kyongho Min, Wai-Kiang Yeap
ISBI
2007
IEEE
15 years 3 months ago
Quantitative Representation of Three-dimensional Cell Culture Models
Three-dimensional mammary cell culture models offer new opportunities for the development of computational techniques for segmentation, localization, and multicellular organizatio...
Hang Chang, Catherine Park, Bahram Parvin
ICIAR
2009
Springer
14 years 7 months ago
Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition
Abstract. Increasing risks of spoof attacks and other common problems of unimodal biometric systems such as intra-class variations, nonuniversality and noisy data necessitate the u...
Syed M. S. Islam, Mohammed Bennamoun, Ajmal S. Mia...
94
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IPMI
2005
Springer
15 years 3 months ago
Fundamental Limits in 3D Landmark Localization
This work analyses the accuracy of estimating the location of 3D landmarks and characteristic image structures. Based on nonlinear estimation theory we study the minimal stochastic...
Karl Rohr