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» Feature Selection for Automatic Image Annotation
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SGAI
2004
Springer
15 years 5 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
CAIP
2007
Springer
117views Image Analysis» more  CAIP 2007»
15 years 6 months ago
Eigenmotion-Based Detection of Intestinal Contractions
Abstract. Intestinal contractions are one of the main features for analyzing intestinal motility and detecting different gastrointestinal pathologies. In this paper we propose Eig...
Laura Igual, Santi Seguí, Jordi Vitri&agrav...
MICCAI
2010
Springer
14 years 10 months ago
Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation
Abstract. We propose a shape descriptor for 3D ear impressions, derived from a comprehensive set of anatomical features. Motivated by hearing aid (HA) manufacturing, the selection ...
Sajjad Baloch, Rupen Melkisetoglu, Simon Flör...
IJDLS
2010
131views more  IJDLS 2010»
14 years 9 months ago
Annotating Historical Archives of Images
Recent initiatives like the Million Book Project and Google Print Library Project have already archived several million books in digital format, and within a few years a significa...
Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christi...
MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 5 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