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» Modelling Smooth Paths Using Gaussian Processes
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SIGIR
2010
ACM
15 years 5 months ago
Hierarchical pitman-yor language model for information retrieval
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
Saeedeh Momtazi, Dietrich Klakow
EMNLP
2010
14 years 11 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
142
Voted
ECCV
2000
Springer
16 years 3 months ago
Color and Scale: The Spatial Structure of Color Images
Abstract. For grey-value images, it is well accepted that the neighborhood rather than the pixel carries the geometrical interpretation. Interestingly the spatial configuration of ...
Jan-Mark Geusebroek, Rein van den Boomgaard, Arnol...
ICCV
2011
IEEE
14 years 1 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
ICIP
2005
IEEE
16 years 3 months ago
Video compression using structural flow
This paper proposes a new technique in wavelet video compression that exploits the spatiotemporal regularity of the video. A sequence of frames is said to be regular along the dire...
Orkun Alatas, Omar Javed, Mubarak Shah