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JMLR
2010
115views more  JMLR 2010»
13 years 2 months ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 8 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
14 years 2 months ago
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...
Elke Achtert, Hans-Peter Kriegel, Arthur Zimek
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
14 years 1 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 5 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...