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SPIESR
2004
143views Database» more  SPIESR 2004»
13 years 10 months ago
An entropy-based objective evaluation method for image segmentation
Accurate image segmentation is important for many image, video and computer vision applications. Over the last few decades, many image segmentation methods have been proposed. How...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
PAMI
2008
196views more  PAMI 2008»
13 years 9 months ago
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...
NIPS
2004
13 years 10 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
COCO
2005
Springer
150views Algorithms» more  COCO 2005»
14 years 2 months ago
The Quantum Adversary Method and Classical Formula Size Lower Bounds
We introduce two new complexity measures for Boolean functions, which we name sumPI and maxPI. The quantity sumPI has been emerging through a line of research on quantum query com...
Sophie Laplante, Troy Lee, Mario Szegedy
IPPS
2007
IEEE
14 years 3 months ago
Low-Overhead LogGP Parameter Assessment for Modern Interconnection Networks
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...
Torsten Hoefler, Andre Lichei, Wolfgang Rehm