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» Belief Update Using Graphs
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TCSV
2008
202views more  TCSV 2008»
13 years 10 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao
IPPS
2009
IEEE
14 years 5 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 5 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
ICPR
2008
IEEE
14 years 5 months ago
Video object segmentation based on graph cut with dynamic shape prior constraint
In this work, we present a novel segmentation method for deformable objects in monocular videos. Firstly we introduce the dynamic shape to represent the prior knowledge about obje...
Peng Tang, Lin Gao
KI
2005
Springer
14 years 4 months ago
A Probabilistic Multimodal Sensor Aggregation Scheme Applied for a Mobile Robot
Dealing with methods of human-robot interaction and using a real mobile robot, stable methods for people detection and tracking are fundamental features of such a system and requir...
Erik Schaffernicht, Christian Martin, Andrea Schei...