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TMM
2002
104views more  TMM 2002»
13 years 4 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
TAP
2010
Springer
191views Hardware» more  TAP 2010»
13 years 3 months ago
Mesh saliency and human eye fixations
raction, simplification, segmentation, illumination, rendering, and illustration. Even though this technique is inspired by models of low-level human vision, it has not yet been v...
Youngmin Kim, Amitabh Varshney, David W. Jacobs, F...
CVPR
2010
IEEE
13 years 5 months ago
Label propagation in video sequences
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
Vijay Badrinarayanan, Fabio Galasso, Roberto Cipol...
SCALESPACE
2007
Springer
13 years 11 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
ICCV
2009
IEEE
14 years 9 months ago
Piecewise Planar Stereo for Image-based Rendering
We present a novel multi-view stereo method designed for image-based rendering that generates piecewise planar depth maps from an unordered collection of photographs. First a di...
Sudipta N. Sinha, Drew Steedly and Richard Szelisk...