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» Reformulating Constraint Models Using Input Data
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NIPS
2004
15 years 3 months ago
Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity
A typical neuron in visual cortex receives most inputs from other cortical neurons with a roughly similar stimulus preference. Does this arrangement of inputs allow efficient read...
Marcelo A. Montemurro, Stefano Panzeri
CCR
2005
129views more  CCR 2005»
15 years 2 months ago
The problem of synthetically generating IP traffic matrices: initial recommendations
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Antonio Nucci, Ashwin Sridharan, Nina Taft
AAAI
2007
15 years 4 months ago
A Planning Approach for Message-Oriented Semantic Web Service Composition
In this paper, we consider the problem of composing a set of web services, where the requirements are specified in terms of the input and output messages of the composite workfl...
Zhen Liu, Anand Ranganathan, Anton Riabov
INFOSCALE
2007
ACM
15 years 3 months ago
A dubiety-determining based model for database cumulated anomaly intrusion
— The concept of Cumulated Anomaly (CA), which describes a new type of database anomalies, is addressed. A typical CA intrusion is that when a user who is authorized to modify da...
Gang Lu, Junkai Yi, Kevin Lü
HUMO
2007
Springer
15 years 6 months ago
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
In this paper, we present a 3D registration algorithm based on simulated physical force/moment for articulated human motion tracking. Provided with sparsely reconstructed 3D human ...
Bingbing Ni, Stefan Winkler, Ashraf A. Kassim