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CVPR
2012
IEEE
9 years 3 months ago
Cross-based local multipoint filtering
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, c...
Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, Min...
JMLR
2012
9 years 3 months ago
Robust Multi-task Regression with Grossly Corrupted Observations
We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...
Huan Xu, Chenlei Leng
CEC
2011
IEEE
10 years 1 months ago
Trainer selection strategies for coevolving rank predictors
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
Daniel L. Ly, Hod Lipson
ACL
2011
10 years 5 months ago
Discovering Sociolinguistic Associations with Structured Sparsity
We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geo...
Jacob Eisenstein, Noah A. Smith, Eric P. Xing
ICIAR
2010
Springer
11 years 6 hour ago
Face Recognition from Color Images Using Sparse Projection Analysis
The paper presents a novel feature extraction technique for face recognition which uses sparse projection axes to compute a lowdimensional representation of face images. The propos...
Vitomir Struc, Nikola Pavesic
FSS
2007
117views more  FSS 2007»
11 years 1 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
FOCM
2007
76views more  FOCM 2007»
11 years 1 months ago
Risk Bounds for Random Regression Graphs
We consider the regression problem and describe an algorithm approximating the regression function by estimators piecewise constant on the elements of an adaptive partition. The pa...
Andrea Caponnetto, Steve Smale
COLT
2007
Springer
11 years 7 months ago
Multi-view Regression Via Canonical Correlation Analysis
In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be partitioned into two different views, where it is assum...
Sham M. Kakade, Dean P. Foster
ICPR
2008
IEEE
11 years 8 months ago
Regression with interval output values
We consider a regression problem where target values are given as intervals, and propose a statistical approach to it. Although it is hard to solve the optimization problem direct...
Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuc...
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