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» Image Based Regression Using Boosting Method
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BMEI
2008
IEEE
15 years 6 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
MICCAI
2006
Springer
16 years 5 months ago
An Approach for the Automatic Cephalometric Landmark Detection Using Mathematical Morphology and Active Appearance Models
Cephalometric analysis of lateral radiographs of the head is an important diagnosis tool in orthodontics. Based on manually locating specific landmarks, it is a tedious, time-consu...
Mariano Alcañiz Raya, Sylvia Rueda
CCIA
2009
Springer
15 years 2 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, ...
ACL
2006
15 years 6 months ago
Discriminating Image Senses by Clustering with Multimodal Features
We discuss Image Sense Discrimination (ISD), and apply a method based on spectral clustering, using multimodal features from the image and text of the embedding web page. We evalu...
Nicolas Loeff, Cecilia Ovesdotter Alm, David A. Fo...
CVPR
2012
IEEE
13 years 7 months ago
Identigram/watermark removal using cross-channel correlation
We introduce a method to repair an image which has been stamped by an identigram or a watermark. Our method is based on the cross-channel correlation which assures the co-occurren...
Jaesik Park, Yu-Wing Tai, In-So Kweon