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» Learning Pedestrian Dynamics from the Real World
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SIGMETRICS
2009
ACM
131views Hardware» more  SIGMETRICS 2009»
15 years 4 months ago
Modeling channel popularity dynamics in a large IPTV system
Understanding the channel popularity or content popularity is an important step in the workload characterization for modern information distribution systems (e.g., World Wide Web,...
Tongqing Qiu, Zihui Ge, Seungjoon Lee, Jia Wang, Q...
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
14 years 7 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
SMC
2007
IEEE
143views Control Systems» more  SMC 2007»
15 years 4 months ago
Enabling gestural interaction by means of tracking dynamical systems models and assistive feedback
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
Yon Visell, Jeremy R. Cooperstock
ADVIS
2004
Springer
15 years 1 months ago
Temporality in Databases
Research in temporal database management has suggested that the Entity-Relationship (E-R) model lacks appropriate constructs for representing the dynamic nature of the real world....
Abdullah Uz Tansel
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 10 months ago
LungCAD: a clinically approved, machine learning system for lung cancer detection
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salgan...