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» Efficient Graphical Models for Processing Images
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PVLDB
2008
160views more  PVLDB 2008»
13 years 7 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
MICCAI
2009
Springer
14 years 8 months ago
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
Albert Huang, Rafeef Abugharbieh, Roger Tam
VISUALIZATION
1998
IEEE
13 years 11 months ago
Efficient warping for architectural walkthroughs using layered depth images
This paper presents efficient image-based rendering techniques used in the context of an architectural walkthrough system. Portals (doors and windows) are rendered by warping laye...
Voicu Popescu, Anselmo Lastra, Daniel G. Aliaga, M...
DAC
2009
ACM
14 years 8 months ago
Power modeling of graphical user interfaces on OLED displays
Emerging organic light-emitting diode (OLED)-based displays obviate external lighting; and consume drastically different power when displaying different colors, due to their emiss...
Mian Dong, Yung-Seok Kevin Choi, Lin Zhong
JMLR
2010
202views more  JMLR 2010»
13 years 2 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...