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KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 10 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
GI
2009
Springer
13 years 7 months ago
AnToNIa: A Software Tool for the Hemodynamic Analysis of Cerebral Vascular Malformations Using 3D and 4D MRA Image Sequences
Abstract: Stroke is the second most common cause of death and major cause of disability worldwide. Approx. 20% of cerebral strokes are caused by hemorrhages due to rupture of cereb...
Nils Daniel Forkert, Dennis Säring, Jens Fieh...
ICPR
2002
IEEE
14 years 10 months ago
3-D Modeling of an Outdoor Scene by Multi-Baseline Stereo Using a Long Sequence of Images
Three-dimensional (3-D) models of outdoor scenes are widely used for object recognition, navigation, mixed reality, and so on. Because such models are often made manually with hig...
Tomokazu Sato, Masayuki Kanbara, Naokazu Yokoya, H...
ICPR
2002
IEEE
14 years 2 months ago
Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
Naoyuki Ichimura
TOPNOC
2008
13 years 9 months ago
Translating Message Sequence Charts to other Process Languages Using Process Mining
Message Sequence Charts (MSCs) are a well known language for specifying scenarios that describe how different actors (e.g., system components, people, or organizations) interact. M...
Kristian Bisgaard Lassen, Boudewijn F. van Dongen