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» Robust information-theoretic clustering
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ICML
2008
IEEE
15 years 10 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
75
Voted
ICCS
2005
Springer
15 years 3 months ago
Highly Scalable Algorithms for Robust String Barcoding
: String barcoding is a recently introduced technique for genomic based identification of microorganisms. In this paper we describe the engineering of highly scalable algorithms fo...
Bhaskar DasGupta, Kishori M. Konwar, Ion I. Mandoi...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 3 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
81
Voted
IJIT
2004
14 years 11 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...
ISPAN
2005
IEEE
15 years 3 months ago
Coordinated Robust Routing by Dual Cluster Heads in Layered Wireless Sensor Networks
In this paper, we propose the coordinated robust routing (CRR) scheme to address the fault tolerance requirements in the layered wireless sensor networks. In the proposed scheme, ...
Mei Yang, Jianping Wang, Zhen-guo Gao, Yingtao Jia...