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576views
16 years 11 months ago
Within-die Process Variations: How Accurately can They Be Statistically Modeled?
Within-die process variations arise during integrated circuit (IC) fabrication in the sub-100nm regime. These variations are of paramount concern as they deviate the performance of...
Brendan Hargreaves, Henrik Hult, Sherief Reda
ACMICEC
2007
ACM
107views ECommerce» more  ACMICEC 2007»
15 years 3 months ago
A family of growth models for representing the price process in online auctions
Bids during an online auction arrive at unequally-spaced discrete time points. Our goal is to capture the entire continuous price-evolution function by representing it as a functi...
Valerie Hyde, Wolfgang Jank, Galit Shmueli
ICCV
2005
IEEE
16 years 1 months ago
Incorporating Visual Knowledge Representation in Stereo Reconstruction
In this paper, we present a two-layer generative model that incorporates generic middle-level visual knowledge for dense stereo reconstruction. The visual knowledge is represented...
Adrian Barbu, Song Chun Zhu
CORR
2012
Springer
187views Education» more  CORR 2012»
13 years 7 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä
ICASSP
2011
IEEE
14 years 3 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur