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» EM in High Dimensional Spaces
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SIGIR
2006
ACM
15 years 4 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
JMLR
2010
115views more  JMLR 2010»
14 years 5 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...
ICIP
2005
IEEE
16 years 11 days ago
Semantic discriminant mapping for classification and browsing of remote sensing textures and objects
We present a new approach based on Discriminant Analysis to map a high dimensional image feature space onto
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
ICML
2006
IEEE
15 years 11 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
IROS
2007
IEEE
119views Robotics» more  IROS 2007»
15 years 5 months ago
Dimensionality reduction for hand-independent dexterous robotic grasping
— In this paper, we build upon recent advances in neuroscience research which have shown that control of the human hand during grasping is dominated by movement in a configurati...
Matei T. Ciocarlie, Corey Goldfeder, Peter K. Alle...