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» Learning from Highly Structured Data by Decomposition
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DAC
2004
ACM
16 years 5 months ago
Reliability-driven layout decompaction for electromigration failure avoidance in complex mixed-signal IC designs
The negative effect of electromigration on signal and power line lifetime and functional reliability is an increasingly important problem for the physical design of integrated cir...
Goeran Jerke, Jürgen Scheible, Jens Lienig
CSDA
2007
87views more  CSDA 2007»
15 years 4 months ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas
CGF
2008
227views more  CGF 2008»
15 years 4 months ago
Dynamic Sampling and Rendering of Algebraic Point Set Surfaces
Algebraic Point Set Surfaces (APSS) define a smooth surface from a set of points using local moving least-squares (MLS) fitting of algebraic spheres. In this paper we first revisi...
Gaël Guennebaud, Marcel Germann, Markus H. Gr...
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
15 years 10 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
DMIN
2010
262views Data Mining» more  DMIN 2010»
15 years 2 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...