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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
15 years 7 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
TIP
2010
171views more  TIP 2010»
14 years 5 months ago
Contourlet Domain Multiband Deblurring Based on Color Correlation for Fluid Lens Cameras
Abstract-- Due to the novel fluid optics, unique image processing challenges are presented by the fluidic lens camera system. Developed for surgical applications, unique properties...
Jack Tzeng, Chun-Chen Liu, Truong Q. Nguyen
CVPR
2010
IEEE
15 years 4 months ago
Towards Semantic Embedding in Visual Vocabulary
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
R.-R. Ji, Hongxun Yao, Xiaoshuai Sun
ICCV
2009
IEEE
16 years 2 months ago
Fast and Robust Earth Mover's Distances
We present a new algorithm for a robust family of Earth Mover’s Distances - EMDs with thresholded ground distances. The algorithm transforms the flow-network of the EMD so that t...
Ofir Pele , Michael Werman
BMCBI
2007
157views more  BMCBI 2007»
14 years 10 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...