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SIBGRAPI
2009
IEEE
14 years 2 months ago
Learning Discriminative Appearance-Based Models Using Partial Least Squares
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambig...
William Robson Schwartz, Larry S. Davis
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 2 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
FGR
2008
IEEE
258views Biometrics» more  FGR 2008»
14 years 2 months ago
Multi-PIE
A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a contro...
Ralph Gross, Iain Matthews, Jeffrey F. Cohn, Takeo...
JCDL
2005
ACM
130views Education» more  JCDL 2005»
14 years 1 months ago
Leveraging context to resolve identity in photo albums
Our system suggests likely identity labels for photographs in a personal photo collection. Instead of using face recognition techniques, the system leverages automatically availab...
Mor Naaman, Ron B. Yeh, Hector Garcia-Molina, Andr...
NIPS
2004
13 years 9 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard