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» Solving Geometric Covering Problems by Data Reduction
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ECCV
2002
Springer
14 years 10 months ago
Linear Multi View Reconstruction with Missing Data
General multi view reconstruction from affine or projective cameras has so far been solved most efficiently using methods of factorizing image data matrices into camera and scene p...
Carsten Rother, Stefan Carlsson
JCP
2008
121views more  JCP 2008»
13 years 9 months ago
Relation Organization of SOM Initial Map by Improved Node Exchange
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
Tsutomu Miyoshi
EUROSYS
2006
ACM
14 years 6 months ago
Ferret: a toolkit for content-based similarity search of feature-rich data
Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are in...
Qin Lv, William Josephson, Zhe Wang, Moses Charika...
ECAI
2006
Springer
14 years 20 days ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
ICIP
2009
IEEE
14 years 10 months ago
Virtual View Rendering Using Super-resolution With Multiview Images
This paper presents a new approach to solve the problem of quality degradation of a synthesized view, when a virtual camera moves forward. Interpolation techniques using only two ...