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NIPS
2008
13 years 12 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
COLING
2008
14 years 11 hour ago
Textual Demand Analysis: Detection of Users' Wants and Needs from Opinions
This paper tackles textual demand analysis, the task of capturing what people want or need, rather than identifying what they like or dislike, on which much conventional work has ...
Hiroshi Kanayama, Tetsuya Nasukawa
TSP
2012
12 years 6 months ago
Parametrization of Linear Systems Using Diffusion Kernels
—Modeling natural and artificial systems has played a key role in various applications and has long been a task that has drawn enormous efforts. In this work, instead of explori...
Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Isra...
MICCAI
2006
Springer
14 years 11 months ago
Anatomically Informed Convolution Kernels for the Projection of fMRI Data on the Cortical Surface
Abstract. We present here a method that aims at producing representations of functional brain data on the cortical surface from functional MRI volumes. Such representations are req...
Grégory Operto, Jean-Luc Anton, Olivier Cou...
SADM
2010
194views more  SADM 2010»
13 years 9 months ago
Seriation and matrix reordering methods: An historical overview
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...
Innar Liiv