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GFKL
2006
Springer
108views Data Mining» more  GFKL 2006»
15 years 1 months ago
Identifying and Exploiting Ultrametricity
We begin with pervasive ultrametricity due to high dimensionality and/or spatial sparsity. How extent or degree of ultrametricity can be quantified leads us to the discussion of va...
Fionn Murtagh
ICPR
2010
IEEE
15 years 4 days ago
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
Svebor Karaman, Jenny Benois-Pineau, Remi Megret, ...
COLT
2008
Springer
14 years 11 months ago
Time Varying Undirected Graphs
Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using 1 penalization methods. However, current m...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
JMLR
2010
115views more  JMLR 2010»
14 years 4 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...
IDEAL
2009
Springer
15 years 4 months ago
Quantitative Association Rules Applied to Climatological Time Series Forecasting
M. Martínez-Ballesteros, Francisco Mart&iac...