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ICML
2006
IEEE
16 years 3 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...
110
Voted
VTC
2008
IEEE
124views Communications» more  VTC 2008»
15 years 9 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...
120
Voted
WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
15 years 8 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...
133
Voted
PCM
2004
Springer
131views Multimedia» more  PCM 2004»
15 years 8 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, ...
125
Voted
NIPS
2004
15 years 4 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...