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» Activity Modeling Using Event Probability Sequences
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BMCBI
2007
139views more  BMCBI 2007»
13 years 7 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
IEAAIE
2009
Springer
14 years 2 months ago
Using Genetic Process Mining Technology to Construct a Time-Interval Process Model
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
Chieh-Yuan Tsai, I-Ching Chen
TKDE
2008
134views more  TKDE 2008»
13 years 7 months ago
Sensor-Based Abnormal Human-Activity Detection
With the availability of affordable sensors and sensor networks, sensor-based human-activity recognition has attracted much attention in artificial intelligence and ubiquitous comp...
Jie Yin, Qiang Yang, Jeffrey Junfeng Pan
UAI
2001
13 years 9 months ago
Toward General Analysis of Recursive Probability Models
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
Daniel Pless, George F. Luger
ICPR
2006
IEEE
14 years 8 months ago
Activity Recognition from Silhouettes using Linear Systems and Model (In)validation Techniques
In this work we propose a model (in)validation approach to gait recognition, using a system that tries to discriminate specific activities of people. The recognition process depar...
Roberto Lublinerman, Necmiye Ozay, Dimitrios Zarpa...