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JMIV
2007
114views more  JMIV 2007»
15 years 6 months ago
Noisy Image Decomposition: A New Structure, Texture and Noise Model Based on Local Adaptivity
These last few years, image decomposition algorithms have been proposed to split an image into two parts: the structures and the textures. These algorithms are not adapted to the ...
Jérôme Gilles
COGSCI
2010
99views more  COGSCI 2010»
15 years 6 months ago
Learning to Learn Causal Models
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
ICPR
2008
IEEE
16 years 7 months ago
Visual planes-based simultaneous localization and model refinement for augmented reality
This paper presents a method for camera pose tracking that uses a partial knowledge about the scene. The method is based on monocular vision Simultaneous Localization And Mapping ...
Éric Marchand, Fabien Servant, Isabelle Mar...
IROS
2006
IEEE
108views Robotics» more  IROS 2006»
16 years 14 days ago
Sparse appearance based modeling for robot localization
— In appearance based robot localization a new image is matched with every image in the database. In this paper we describe how to reduce the number of images in this database wi...
Olaf Booij, Zoran Zivkovic, Ben J. A. Kröse
EMNLP
2010
15 years 4 months ago
Crouching Dirichlet, Hidden Markov Model: Unsupervised POS Tagging with Context Local Tag Generation
We define the crouching Dirichlet, hidden Markov model (CDHMM), an HMM for partof-speech tagging which draws state prior distributions for each local document context. This simple...
Taesun Moon, Katrin Erk, Jason Baldridge