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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 2 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
CAD
2005
Springer
13 years 7 months ago
Frontal geometry from sketches of engineering objects: is line labelling necessary?
A tool which can quickly interpret line drawings (with hidden lines removed) of engineering objects as boundary representation CAD models would be of significant benefit in the pr...
P. A. C. Varley, Ralph R. Martin, Hiromasa Suzuki
BMCBI
2010
218views more  BMCBI 2010»
13 years 5 months ago
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...
ECCV
2008
Springer
14 years 9 months ago
VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of c...
David Liu, Gang Hua, Tsuhan Chen
ICIP
2003
IEEE
14 years 9 months ago
Statistical atlas-based sub-voxel segmentation of 3D brain MRI
We present a 3D brain MRI segmentation method in which a high resolution label image evolves under the influence of multiple constraints. The constraints are expressed in a versat...
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach