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ICASSP
2011
IEEE
13 years 1 months ago
A new video similarity measure model based on video time density function and dynamic programming
In this paper, we propose a novel video similarity measure model using video time density function (VTDF) and dynamic programming. First, we employ VTDF to describe the density of...
Junfeng Jiang, Xiao-Ping Zhang, Alexander C. Loui
IJCNN
2007
IEEE
14 years 4 months ago
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Abstract— Cognitive control - the ability to produce appropriate behavior in complex situations - is a fundamental aspect of intelligence. It is increasingly evident that this co...
Simona Doboli, Ali A. Minai, Vincent R. Brown
NIPS
1998
13 years 11 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
GD
2005
Springer
14 years 3 months ago
A Hybrid Model for Drawing Dynamic and Evolving Graphs
Dynamic processes frequently occur in many applications. Visualizations of dynamically evolving data, for example as part of the data analysis, are typically restricted to a cumula...
Marco Gaertler, Dorothea Wagner
TCS
2008
13 years 10 months ago
Security types for dynamic web data
We describe a type system for the Xd calculus of Gardner and Maffeis. An Xd-network is a network of locations, where each location consists of both a data tree (which contains scr...
Mariangiola Dezani-Ciancaglini, Silvia Ghilezan, J...