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NIPS
2008
13 years 11 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
SEMWEB
2009
Springer
14 years 4 months ago
Change Representation For OWL 2 Ontologies
Ontologies are entities that evolve over time, therefore it is essential to represent and manage changes to ontologies along with the ontologies themselves. In this paper we propos...
Raúl Palma, Peter Haase, Óscar Corch...
KBSE
2008
IEEE
14 years 4 months ago
Discovering Patterns of Change Types
The reasons why software is changed are manyfold; new features are added, bugs have to be fixed, or the consistency of coding rules has to be re-established. Since there are many...
Beat Fluri, Emanuel Giger, Harald Gall
PERCOM
2006
ACM
14 years 9 months ago
Analysis of Appropriate Timing for Information Notification Based on Indoor User's Location Transition
The purpose of this study was to explore the convenient timing for information notification of the users in their daily life. Using the location and the time interval since a loca...
Vlaho Kostov, Takashi Tajima, Eiichi Naito, Jun Oz...
ICIP
2008
IEEE
14 years 11 months ago
Tracking through changes in scale
We propose a tracking system that is especially well-suited to tracking targets which change drastically in size or appearance. To accomplish this, we employ a fast, two phase tem...
Allen Tannenbaum, Arie Nakhmani, James G. Malcolm,...