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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 1 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
VLDB
1998
ACM
173views Database» more  VLDB 1998»
13 years 7 months ago
Fast Image Retrieval Using Color-Spatial Information
Abstract. In this paper, we present an image retrieval system that employs both the color and spatial information of images to facilitate the retrieval process. The basic unit used...
Beng Chin Ooi, Kian-Lee Tan, Tat-Seng Chua, Wynne ...
ECCV
2008
Springer
14 years 9 months ago
Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation
Abstract. Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture...
Greg Mori, Yang Wang 0003
MICCAI
2010
Springer
13 years 6 months ago
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or...
Johannes Feulner, Shaohua Kevin Zhou, Martin Huber...
ISBI
2011
IEEE
12 years 11 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...