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ALT
2003
Springer
13 years 9 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
ICCV
2009
IEEE
14 years 10 months ago
Is that you? Metric Learning Approaches for Face Identification
Face identification is the problem of determining whether two face images depict the same person or not. This is difficult due to variations in scale, pose, lighting, background...
Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmi...
ECCV
2010
Springer
13 years 7 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that deļ¬nes which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
ECML
2001
Springer
13 years 10 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
CVPR
2010
IEEE
14 years 2 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are ā€œrelatedā€(must-link constraint) or ā€œunrelatedā€ (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain