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CVPR
2010
IEEE
13 years 8 months ago
Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...
Shiv Vitaladevuni, Ronen Basri
CP
2001
Springer
13 years 10 months ago
Optimal Pruning in Parametric Differential Equations
Initial value problems for parametric ordinary differential equations (ODEs) arise in many areas of science and engineering. Since some of the data is uncertain, traditional numer...
Micha Janssen, Pascal Van Hentenryck, Yves Deville
ICCV
2011
IEEE
12 years 5 months ago
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
Tianshi Gao, Daphne Koller
ICC
2007
IEEE
119views Communications» more  ICC 2007»
13 years 12 months ago
A Convex Quadratic SDMA Grouping Algorithm Based on Spatial Correlation
Abstract— Space Division Multiple Access (SDMA) is a promising solution to improve the spectral efficiency of future mobile radio systems. However, finding the group of MSs tha...
Tarcisio F. Maciel, Anja Klein
ICASSP
2010
IEEE
13 years 5 months ago
Searching with expectations
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Harsimrat Sandhawalia, Herve Jegou