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92
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
127
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
120
click to vote
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
110
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Detecting and segmenting free-form objects from cluttered backgrounds is a challenging problem in computer vision. Signature detection in document images is one classic example an...
97
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...