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» Multiplicative structures in additively large sets
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ICIP
2006
IEEE
14 years 9 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
ICSE
2009
IEEE-ACM
14 years 2 months ago
How to avoid drastic software process change (using stochastic stability)
Before performing drastic changes to a project, it is worthwhile to thoroughly explore the available options within the current structure of a project. An alternative to drastic c...
Tim Menzies, Steve Williams, Barry W. Boehm, Jairu...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
ICDM
2009
IEEE
168views Data Mining» more  ICDM 2009»
14 years 2 months ago
Bi-relational Network Analysis Using a Fast Random Walk with Restart
—Identification of nodes relevant to a given node in a relational network is a basic problem in network analysis with great practical importance. Most existing network analysis ...
Jing Xia, Doina Caragea, William H. Hsu
3DPVT
2006
IEEE
149views Visualization» more  3DPVT 2006»
14 years 1 months ago
Depth Images: Representations and Real-Time Rendering
Depth Images are viable representations that can be computed from the real world using cameras and/or other scanning devices. The depth map provides 2-1 2 D structure of the scene...
Pooja Verlani, Aditi Goswami, P. J. Narayanan, She...