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VC
2011
161views more  VC 2011»
14 years 11 months ago
A GPU framework for parallel segmentation of volumetric images using discrete deformable models
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
Jérôme Schmid, José Antonio Ig...
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 11 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...

Publication
363views
14 years 3 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
PAMI
2012
13 years 6 months ago
Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis
—This paper is concerned with the representation and recognition of the observed dynamics (i.e., excluding purely spatial appearance cues) of spacetime texture based on a spatiot...
Konstantinos G. Derpanis, Richard P. Wildes
CVPR
2012
IEEE
13 years 6 months ago
Segmentation using superpixels: A bipartite graph partitioning approach
Grouping cues can affect the performance of segmentation greatly. In this paper, we show that superpixels (image segments) can provide powerful grouping cues to guide segmentation...
Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang