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» System modeling with mixed object and data models
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NIPS
2001
14 years 11 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
ICDE
1998
IEEE
139views Database» more  ICDE 1998»
15 years 2 months ago
Cost and Imprecision in Modeling the Position of Moving Objects
Consider a database that represents the location of moving objects, such as taxi-cabs (typical query: retrieve the cabs that are currently within 1 mile of 33 Michigan Ave., Chica...
Ouri Wolfson, Sam Chamberlain, Son Dao, Liqin Jian...
AMDO
2000
Springer
15 years 2 months ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno
MTV
2007
IEEE
166views Hardware» more  MTV 2007»
15 years 4 months ago
Application of Automated Model Generation Techniques to Analog/Mixed-Signal Circuits
Abstract—Abstract models of analog/mixed-signal (AMS) circuits can be used for formal verification and system-level simulation. The difficulty of creating these models preclude...
Scott Little, Alper Sen, Chris J. Myers
DAC
1998
ACM
15 years 10 months ago
A Mixed Nodal-Mesh Formulation for Efficient Extraction and Passive Reduced-Order Modeling of 3D Interconnects
As VLSI circuit speeds have increased, reliable chip and system design can no longer be performed without accurate threedimensional interconnect models. In this paper, we describe...
Nuno Alexandre Marques, Mattan Kamon, Jacob White,...