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» Comparing sequence scaffolds
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122
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CSL
2002
Springer
15 years 17 days ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy
103
Voted
JEI
2000
133views more  JEI 2000»
15 years 16 days ago
Low complexity block motion estimation using morphological-based feature extraction and XOR operations
Motion estimation is a temporal image compression technique, where an n x n block of pixels in the current frame of a video sequence is represented by a motion vector with respect...
Thinh M. Le, R. Mason, Sethuraman Panchanathan
100
Voted
MST
2000
101views more  MST 2000»
15 years 16 days ago
Robust Parallel Computations through Randomization
In this paper we present an efficient general simulation strategy for computations designed for fully operational BSP machines of n ideal processors, on n-processor dynamic-fault-p...
Spyros C. Kontogiannis, Grammati E. Pantziou, Paul...
104
Voted
NN
2000
Springer
148views Neural Networks» more  NN 2000»
15 years 16 days ago
Anxiety-like behavior in rats: a computational model
This work describes a neural network model of the rat exploratory behavior in the elevated plus-maze, a test used to study anxiety. It involves three parameters: drive to explore;...
Cristiane Salum, Silvio Morato, Antônio C. R...
97
Voted
AI
1998
Springer
15 years 14 days ago
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...
Tom Bylander