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ICML
2006
IEEE
14 years 11 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
VTC
2008
IEEE
124views Communications» more  VTC 2008»
14 years 4 months ago
LOUVRE: Landmark Overlays for Urban Vehicular Routing Environments
—In this paper, we introduce a routing solution called “Landmark Overlays for Urban Vehicular Routing Environments” (LOUVRE), an approach that efficiently builds a landmark ...
Kevin C. Lee, Michael Le, Jérôme H&au...
WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
14 years 4 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
PCM
2004
Springer
131views Multimedia» more  PCM 2004»
14 years 3 months ago
Vision-Based Sign Language Recognition Using Sign-Wise Tied Mixture HMM
Abstract. In this paper, a new sign-wise tied mixture HMM (SWTMHMM) is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities o...
Liangguo Zhang, Gaolin Fang, Wen Gao, Xilin Chen, ...
NIPS
2004
13 years 11 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...