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» Learning the Relative Importance of Features in Image Data
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TCSV
2011
14 years 4 months ago
Concept-Driven Multi-Modality Fusion for Video Search
—As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective ...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
ICCV
2009
IEEE
16 years 2 months ago
Optimal Correspondences from Pairwise Constraints
Correspondence problems are of great importance in computer vision. They appear as subtasks in many applications such as object recognition, merging partial 3D reconstructions a...
Olof Enqvist, Klas Josephson, Fredrik Kahl
WSCG
2003
164views more  WSCG 2003»
14 years 10 months ago
Refinement and Hierarchical Coarsening Schemes for Triangulated Surfaces
We present a refinement and a coarsening (also simplification or decimation) algorithm for the adaptive representation of bivariate functions. The algorithms have proved to be eff...
José P. Suárez, Angel Plaza
CGF
2010
126views more  CGF 2010»
14 years 9 months ago
Contour-based Interface for Refining Volume Segmentation
Medical volume images contain ambiguous and low-contrast boundaries around which existing fully- or semiautomatic segmentation algorithms often cause errors. In this paper, we pro...
Takashi Ijiri, Hideo Yokota
ICIP
2008
IEEE
15 years 11 months ago
Robust brain activation detection in functional MRI
Functional Magnetic Resonance Imaging (MRI) is today one of the most important non-invasive tools to study the brain from a functional point of view. The blood-oxygenation-level-d...
David M. Afonso, João M. Sanches, Martin H....