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CBMS
2009
IEEE
14 years 2 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
ICPR
2004
IEEE
14 years 8 months ago
Image and Feature Co-Clustering
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
Guoping Qiu
CVPR
2005
IEEE
14 years 9 months ago
Coherent Regions for Concise and Stable Image Description
We present a new method for summarizing images for the purposes of matching and registration. We take the point of view that large, coherent regions in the image provide a concise...
Jason J. Corso, Gregory D. Hager
ICDAR
2011
IEEE
12 years 7 months ago
Math Spotting: Retrieving Math in Technical Documents Using Handwritten Query Images
—A method for locating mathematical expressions in document images without the use of optical character recognition is presented. An index of document regions is produced from re...
Richard Zanibbi, Li Yu
TMI
2011
182views more  TMI 2011»
13 years 2 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang