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» The Structure of Sparse Resultant Matrices
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ICC
2011
IEEE
217views Communications» more  ICC 2011»
12 years 8 months ago
Controlling LDPC Absorbing Sets via the Null Space of the Cycle Consistency Matrix
— This paper focuses on controlling absorbing sets for a class of regular LDPC codes, known as separable, circulantbased (SCB) codes. For a specified circulant matrix, SCB codes...
Jiadong Wang, Lara Dolecek, Richard D. Wesel
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 9 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
CVPR
2007
IEEE
14 years 11 months ago
Accurate, Dense, and Robust Multi-View Stereopsis
: This paper proposes a novel algorithm for calibrated multi-view stereopsis that outputs a (quasi) dense set of rectangular patches covering the surfaces visible in the input imag...
Yasutaka Furukawa, Jean Ponce
ECCV
2008
Springer
14 years 10 months ago
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
Over the years, several spatio-temporal interest point detectors have been proposed. While some detectors can only extract a sparse set of scaleinvariant features, others allow for...
Geert Willems, Tinne Tuytelaars, Luc J. Van Gool
ICDM
2006
IEEE
98views Data Mining» more  ICDM 2006»
14 years 2 months ago
What is the Dimension of Your Binary Data?
Many 0/1 datasets have a very large number of variables; however, they are sparse and the dependency structure of the variables is simpler than the number of variables would sugge...
Nikolaj Tatti, Taneli Mielikäinen, Aristides ...