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CVPR
2011
IEEE
13 years 3 months ago
A Deformation and Lighting Insensitive Metric for Face Recognition
Face recognition is a challenging problem, complicated by variations in pose, expression, lighting, and the passage of time. Significant work has been done to solve each of these...
Anne Jorstad, David Jacobs, Alain Trouvé
PCM
2010
Springer
204views Multimedia» more  PCM 2010»
13 years 5 months ago
Learning Contextual Metrics for Automatic Image Annotation
Abstract. The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previo...
Zuotao Liu, Xiangdong Zhou, Yu Xiang, Yan-Tao Zhen...
CVPR
2010
IEEE
14 years 3 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
ICCV
2007
IEEE
14 years 1 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu
ICML
2003
IEEE
14 years 8 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang