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ICML
2003
IEEE
15 years 12 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
CASES
2009
ACM
15 years 5 months ago
Optimal loop parallelization for maximizing iteration-level parallelism
This paper solves the open problem of extracting the maximal number of iterations from a loop that can be executed in parallel on chip multiprocessors. Our algorithm solves it opt...
Duo Liu, Zili Shao, Meng Wang, Minyi Guo, Jingling...
EMMCVPR
2007
Springer
15 years 5 months ago
Simulating Classic Mosaics with Graph Cuts
Classic mosaic is one of the oldest and most durable art forms. There has been a growing interest in simulating classic mosaics from digital images recently. To be visually pleasin...
Yu Liu, Olga Veksler, Olivier Juan
75
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ICPR
2010
IEEE
15 years 2 months ago
Cell Tracking in Video Microscopy Using Bipartite Graph Matching
Automated visual tracking of cells from video microscopy has many important biomedical applications. In this paper, we model the problem of cell tracking over pairs of video micro...
Ananda Chowdhury, Rohit Chatterjee, Mayukh Ghosh, ...
STACS
2007
Springer
15 years 5 months ago
New Approximation Algorithms for Minimum Cycle Bases of Graphs
We consider the problem of computing an approximate minimum cycle basis of an undirected non-negative edge-weighted graph G with m edges and n vertices; the extension to directed ...
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Mich...