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CVPR
2007
IEEE
16 years 9 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
ECCV
2008
Springer
16 years 9 months ago
Priors for Large Photo Collections and What They Reveal about Cameras
A large photo collection downloaded from the internet spans a wide range of scenes, cameras, and photographers. In this paper we introduce several novel priors for statistics of su...
Sujit Kuthirummal, Aseem Agarwala, Dan B. Goldman,...
RECOMB
2010
Springer
16 years 1 months ago
Hierarchical Generative Biclustering for MicroRNA Expression Analysis
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
José Caldas, Samuel Kaski
ICDCSW
2008
IEEE
16 years 1 months ago
A Novel CDS-Based Reputation Monitoring System for Wireless Sensor Networks
Reputation and Trust-based Monitoring Systems (RTMSs) have provided a ubiquitous framework for secure Wireless Sensor Network (WSN) computing. Employing sensors for neighborhood m...
Avinash Srinivasan, Feng Li, Jie Wu
ICCV
2007
IEEE
16 years 1 months ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
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