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» Mining Trajectory Patterns Using Hidden Markov Models
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BIBE
2000
IEEE
15 years 1 months ago
Mining Residue Contacts in Proteins
In this paper we develop data mining techniques to predict 3D contact potentials among protein residues (or amino acids) based on the hierarchical nucleationpropagation model of p...
Mohammed Javeed Zaki, Shan Jin, Chris Bystroff
IEEEIAS
2007
IEEE
15 years 4 months ago
Cyber Threat Trend Analysis Model Using HMM
Prevention, not reaction, is normally recognized as one of the best defense strategy against malicious hackers or attackers. The desire of deploying better prevention mechanism mo...
Do-Hoon Kim, Taek Lee, Sung-Oh David Jung, Hoh Pet...
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Two-Layer Generative Models for Sport Video Mining
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
Yi Ding, Guoliang Fan, W. Bryan
TIP
2008
165views more  TIP 2008»
14 years 9 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
ACII
2005
Springer
14 years 12 months ago
Hand Motion Recognition for the Vision-based Taiwanese Sign Language Interpretation
In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface. Our hand mot...
Chia-Shiuan Cheng, Pi-Fuei Hsieh, Chung-Hsien Wu