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PAMI
1998
124views more  PAMI 1998»
15 years 3 months ago
Robust Adaptive Segmentation of Range Images
—We propose a novel image segmentation technique using the robust, adaptive least kth order squares (ALKS) estimator which minimizes the kth order statistics of the squared of re...
Kil-Moo Lee, Peter Meer, Rae-Hong Park
166
Voted
WACV
2007
IEEE
15 years 10 months ago
Threshold-based 3D Tumor Segmentation using Level Set (TSL)
Three-dimensional segmentation is reliable approach to achieve a proper estimation of tumor volume. Among all possible methods for this purpose, level set can be used as a powerfu...
Sima Taheri, Sim Heng Ong, Vincent Chong
BMCBI
2004
158views more  BMCBI 2004»
15 years 3 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
139
Voted
IJCV
2007
157views more  IJCV 2007»
15 years 3 months ago
Recovering Surface Layout from an Image
Humans have an amazing ability to instantly grasp the overall 3D structure of a scene – ground orientation, relative positions of major landmarks, etc – even from a single ima...
Derek Hoiem, Alexei A. Efros, Martial Hebert
CCIA
2009
Springer
15 years 1 months ago
Patch Growing: Object segmentation using spatial coherence of local patches
Object segmentation is a challenging and important problem in computer vision. The difficulties to obtain accurate segmentations using only the traditional Topdown or Bottom-up ap...
Marc Masias, Albert Torrent, Xavier Lladó, ...