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» Structure from Motion with Missing Data is NP-Hard
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IMC
2007
ACM
13 years 9 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
ECCV
2010
Springer
14 years 14 days ago
Bilinear factorization via Augmented Lagrange Multipliers
This paper presents a unified approach to solve different bilinear factorization problems in Computer Vision in the presence of missing data in the measurements. The problem is f...
IVC
2008
145views more  IVC 2008»
13 years 7 months ago
Camera calibration from human motion
This paper presents a method for the self-calibration of non-rigid affine structure to a Euclidean co-ordinate frame from only two views by enforcing constraints derived from the ...
Philip A. Tresadern, Ian D. Reid
GW
2003
Springer
122views Biometrics» more  GW 2003»
14 years 24 days ago
Recovering Articulated Motion with a Hierarchical Factorization Method
Recovering articulated human motion is an important task in many applications including surveillance and human-computer interaction. In this paper, a hierarchical factorization met...
Hanning Zhou, Thomas S. Huang
FOIKS
2010
Springer
13 years 5 months ago
Two Complementary Classification Methods for Designing a Concept Lattice from Interval Data
This paper holds on the application of two classification methods based on formal concept analysis (FCA) to interval data. The first method uses a similarity between objects while ...
Mehdi Kaytoue-Uberall, Zainab Assaghir, Nizar Mess...