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ENC
2004
IEEE
15 years 4 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
IWANN
2005
Springer
15 years 6 months ago
Modeling Neural Processes in Lindenmayer Systems
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...
Carlos Martín-Vide, Tseren-Onolt Ishdorj
139
Voted
JCSS
2011
154views more  JCSS 2011»
14 years 7 months ago
Model interoperability via Model Driven Development
It is widely recognised that software development is a complex process. Among the factors that contribute to its inherent complexity is the gap between the design and the formal a...
Mohamed Ariff Ameedeen, Behzad Bordbar, Rachid Ana...
EMNLP
2008
15 years 2 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
94
Voted
CVPR
2008
IEEE
16 years 2 months ago
Who killed the directed model?
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
Justin Domke, Alap Karapurkar, Yiannis Aloimonos