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» OPTICS: Ordering Points To Identify the Clustering Structure
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237
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ICA
2012
Springer
13 years 5 months ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
93
Voted
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 4 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
81
Voted
ICIP
2001
IEEE
15 years 11 months ago
Shape description of three-dimensional images based on medial axis
3D-shape description requires the partition of objects in different parts. In this paper, we propose a new approach based on the analysis of a 3D skeleton. The skeleton is a repre...
Alexandra Bonnassie, Françoise Peyrin, Domi...
87
Voted
EMMCVPR
2009
Springer
15 years 4 months ago
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...