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» Approximate nearest neighbors using sparse representations
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ICIP
2004
IEEE
15 years 11 months ago
Feature statistical retrieval applied to content-based copy identification
In many image or video retrieval systems, the search of similar objects in the database includes a spatial access method to a multidimensional feature space. This step is generall...
Alexis Joly, Carl Frélicot, Olivier Buisson
ICPR
2002
IEEE
15 years 10 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
CVPR
2007
IEEE
15 years 11 months ago
Recognizing Night Walkers Based on One Pseudoshape Representation of Gait
Gait is a promising biometric cue which can facilitate the recognition of human beings, particularly when other biometrics are unavailable. Existing work for gait recognition, how...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
ECCV
2010
Springer
14 years 10 months ago
A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation
Although the recent advances in the sparse representations of images have achieved outstanding denosing results, removing real, structured noise in digital videos remains a challen...
Ce Liu, William T. Freeman
ICML
2007
IEEE
15 years 10 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario