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» Semantic Analysis of Matrix Structures
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140
Voted
CVPR
2008
IEEE
16 years 5 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
143
Voted
ACML
2009
Springer
15 years 10 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan
RE
2002
Springer
15 years 3 months ago
AGORA: Attributed Goal-Oriented Requirements Analysis Method
This paper presents an extended version of GoalOriented Requirements Analysis Method called AGORA, where attribute values, e.g. contribution values and preference matrices, are ad...
Haruhiko Kaiya, Hisayuki Horai, Motoshi Saeki
PLDI
2012
ACM
13 years 5 months ago
Scalable and precise dynamic datarace detection for structured parallelism
Existing dynamic race detectors suffer from at least one of the following three limitations: (i) space overhead per memory location grows linearly with the number of parallel thre...
Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin...
148
Voted
CVPR
2005
IEEE
16 years 5 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos