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MM
2010
ACM
174views Multimedia» more  MM 2010»
15 years 5 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
TMI
2011
154views more  TMI 2011»
15 years 8 hour ago
Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach
Abstract—Optical Coherence Tomography (OCT) is a noninvasive, depth-resolved imaging modality that has become a prominent ophthalmic diagnostic technique. We present a semiautoma...
Azadeh Yazdanpanah, Ghassan Hamarneh, Benjamin R. ...
ICPR
2002
IEEE
16 years 6 months ago
Facial Expression Recognition Using Pseudo 3-D Hidden Markov Models
In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which ha...
Frank Hülsken, Frank Wallhoff, Gerhard Rigoll...
ICST
2009
IEEE
15 years 11 months ago
A Model Building Process for Identifying Actionable Static Analysis Alerts
Automated static analysis can identify potential source code anomalies early in the software process that could lead to field failures. However, only a small portion of static ana...
Sarah Smith Heckman, Laurie A. Williams
CVPR
2010
IEEE
16 years 20 days ago
Automatic Image Annotation Using Group Sparsity
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Y...