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» Resampling methods for input modeling
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110
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PAMI
2010
192views more  PAMI 2010»
15 years 1 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
141
Voted
ICSE
1998
IEEE-ACM
15 years 7 months ago
Modeling and Analysis of a Virtual Reality System with Time Petri Nets
The design, implementation, and testing of virtual environments is complicated by the concurrency and realtime features of these systems. Therefore, the development of formal meth...
Rajesh Mascarenhas, Dinkar Karumuri, Ugo A. Buy, R...
118
Voted
ER
1994
Springer
121views Database» more  ER 1994»
15 years 7 months ago
An Executable Meta Model for Re-Engineering of Database Schemas
A logical database schema, e.g. a relational one, is an implementation of a speci cation, e.g. an entity-relationship diagram. Upcoming new data models and the necessity of seamle...
Manfred A. Jeusfeld, Uwe A. Johnen
158
Voted
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
15 years 4 months ago
Inverse modeling for open boundary conditions in channel network
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...
124
Voted
SOCO
2008
Springer
15 years 3 months ago
Fuzzy linear regression model based on fuzzy scalar product
The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
Hsien-Chung Wu