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» Correlational spectral clustering
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FTML
2010
159views more  FTML 2010»
14 years 8 months ago
Dimension Reduction: A Guided Tour
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
Christopher J. C. Burges
121
Voted
CVPR
2011
IEEE
14 years 5 months ago
Iterative Quantization: A Procrustean Approach to Learning Binary Codes
This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...
Yunchao Gong, Svetlana Lazebnik
ICCV
2007
IEEE
15 years 11 months ago
Noise Robust Spectral Clustering
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...
Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou T...
ICCV
2005
IEEE
15 years 11 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
14 years 11 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy