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» Hidden Markov Models with Multiple Observation Processes
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JCSS
2006
56views more  JCSS 2006»
15 years 1 months ago
Determining model accuracy of network traces
Accurate network modeling is critical to the design of network protocols. Traditional modeling approaches, such as Discrete Time Markov Chains (DTMC) are limited in their ability ...
Almudena Konrad, Ben Y. Zhao, Anthony D. Joseph
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
15 years 8 months ago
Genetic MRF model optimization for real-time victim detection in search and rescue
— One primary goal in rescue robotics is to deploy a team of robots for coordinated victim search after a disaster. This requires robots to perform subtasks, such as victim detec...
Alexander Kleiner, Rainer Kümmerle
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
EMNLP
2011
14 years 1 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
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DATE
2009
IEEE
113views Hardware» more  DATE 2009»
15 years 8 months ago
System-level process variability analysis and mitigation for 3D MPSoCs
Abstract—While prior research has extensively evaluated the performance advantage of moving from a 2D to a 3D design style, the impact of process parameter variations on 3D desig...
Siddharth Garg, Diana Marculescu