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ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
16 years 1 months ago
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering
The nonnegative matrix factorization (NMF) has been shown recently to be useful for clustering. Various extensions of NMF have also been proposed. In this paper we present an over...
Tao Li, Chris H. Q. Ding
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
16 years 1 months ago
Plagiarism Detection in arXiv
We describe a large-scale application of methods for finding plagiarism and self-plagiarism in research document collections. The methods are applied to a collection of 284,834 d...
Daria Sorokina, Johannes Gehrke, Simeon Warner, Pa...
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
16 years 1 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
16 years 1 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
16 years 1 months ago
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Daniel Lemire, Martin Brooks, Yuhong Yan