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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
16 years 27 days ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
DAC
2005
ACM
15 years 8 months ago
Parameterized block-based statistical timing analysis with non-gaussian parameters, nonlinear delay functions
Variability of process parameters makes prediction of digital circuit timing characteristics an important and challenging problem in modern chip design. Recently, statistical stat...
Hongliang Chang, Vladimir Zolotov, Sambasivan Nara...
SIAMSC
2008
237views more  SIAMSC 2008»
15 years 6 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
ARC
2010
Springer
105views Hardware» more  ARC 2010»
15 years 6 months ago
Lyapunov functionals and matrices
In the talk we present a survey of the current state of art in the area of quadratic functionals with prescribed time derivatives. The ...rst contribution dedicated to the topic w...
Vladimir L. Kharitonov
CVPR
2009
IEEE
17 years 1 months ago
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection. The concept granularity is used to define the spatial and angular unce...
Yazhou Liu (Harbin Institute of Technology), Shigu...