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» Nonlinear functional regression: a functional RKHS approach
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IGARSS
2010
13 years 3 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
SACI
2007
IEEE
14 years 2 months ago
Geometric Theory and Control of Linear Parameter Varying Systems
: Linear Parameter Varying(LPV) systems appear in a form of LTI state space representations where the elements of the A(ρ), B(ρ), C(ρ) matrices can depend on an unknown but at a...
Jozsef Bokor
ASPDAC
2007
ACM
121views Hardware» more  ASPDAC 2007»
14 years 15 days ago
Timing-Aware Decoupling Capacitance Allocation in Power Distribution Networks
Power supply noise increases the circuit delay, which may lead to performance failure of a design. Decoupling capacitance (decap) addition is effective in reducing the power suppl...
Sanjay Pant, David Blaauw
ASPDAC
2008
ACM
174views Hardware» more  ASPDAC 2008»
13 years 10 months ago
Chebyshev Affine Arithmetic based parametric yield prediction under limited descriptions of uncertainty
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
Jin Sun, Yue Huang, Jun Li, Janet Meiling Wang
CVPR
2011
IEEE
13 years 7 days ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk