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» Learning Visual Representations using Images with Captions
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CVPR
2005
IEEE
14 years 10 months ago
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
14 years 15 days ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman
CVPR
2008
IEEE
14 years 10 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert
ACCV
2010
Springer
13 years 3 months ago
Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting
The ignorance on spatial information and semantics of visual words becomes main obstacles in the bag-of-visual-words (BoW) method for image classification. To address the obstacles...
Chunjie Zhang, Jing Liu, Jinqiao Wang, Qi Tian, Ch...
ICPR
2008
IEEE
14 years 3 months ago
Text detection from scene images using sparse representation
A sparse representation based method is proposed for text detection from scene images. We start with edge information extracted using Canny operator and then group these edge poin...
Wumo Pan, Tien D. Bui, Ching Y. Suen