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139
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TNN
2010
182views Management» more  TNN 2010»
14 years 7 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
138
Voted
IJCV
1998
121views more  IJCV 1998»
15 years 13 days ago
Generalization to Novel Views: Universal, Class-based, and Model-based Processing
A major problem in object recognition is that a novel image of a given object can be different from all previously seen images. Images can vary considerably due to changes in viewi...
Yael Moses, Shimon Ullman
109
Voted
HRI
2006
ACM
15 years 6 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
93
Voted
MLQ
2008
106views more  MLQ 2008»
15 years 22 days ago
A general Mitchell style iteration
We work out the details of a schema for a mixed support forcing iteration, which generalizes the Mitchell model [7] with no Aronszajn trees on 2. The main purpose of this paper is ...
John Krueger
TCAD
2008
172views more  TCAD 2008»
15 years 21 days ago
General Methodology for Soft-Error-Aware Power Optimization Using Gate Sizing
Power consumption has emerged as the premier and most constraining aspect in modern microprocessor and application-specific designs. Gate sizing has been shown to be one of the mos...
Foad Dabiri, Ani Nahapetian, Tammara Massey, Miodr...