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» Towards Device-Blending: Model and Challenges
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BIBE
2005
IEEE
116views Bioinformatics» more  BIBE 2005»
14 years 2 months ago
Stochastic Model of Protease-Ligand Reactions
Prediction of protein tertiary structure based on amino acid sequence is one of the most challenging open questions in computational molecular biology. The two most common experim...
Paul E. Anderson, Douglas W. Raiford, Deacon J. Sw...
CVPR
2007
IEEE
14 years 10 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
IAT
2007
IEEE
14 years 2 months ago
Economically Inspired Self-healing Model for Multi-Agent Systems
Self-healing in fault tolerant multi-agent systems is the system ability to automatically detect, diagnose, and repair the faults. However, most of the available solutions are fra...
Maryam Ashoori, Chunyan Miao, Majid Nili, Mehdi Am...
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
15 years 3 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...
IROS
2007
IEEE
150views Robotics» more  IROS 2007»
14 years 2 months ago
Long-Term learning using multiple models for outdoor autonomous robot navigation
Abstract—Autonomous robot navigation in unstructured outdoor environments is a challenging area of active research. The navigation task requires identifying safe, traversable pat...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...