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576views
15 years 7 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»
13 years 11 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
14 years 9 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»
12 years 3 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
12 years 11 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