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MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 10 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
SPIRE
2005
Springer
15 years 10 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
MM
2004
ACM
154views Multimedia» more  MM 2004»
15 years 10 months ago
PLSA-based image auto-annotation: constraining the latent space
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Florent Monay, Daniel Gatica-Perez
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 9 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
CIVR
2008
Springer
204views Image Analysis» more  CIVR 2008»
15 years 6 months ago
Image clustering based on a shared nearest neighbors approach for tagged collections
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
Pierre-Alain Moëllic, Jean-Emmanuel Haugeard,...