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136
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CVPR
2008
IEEE
16 years 4 months ago
Coherent image annotation by learning semantic distance
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong,...
138
Voted
ITS
2000
Springer
159views Multimedia» more  ITS 2000»
15 years 6 months ago
Can We Learn from ITSs?
With the rise of VR, the internet, and mobile technologies and the shifts in educational focus from teaching to learning and from solitary to collaborative work, it's easy (bu...
Benedict du Boulay
123
Voted
CDC
2008
IEEE
15 years 9 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
137
Voted
AAAI
1990
15 years 4 months ago
Exploiting Locality in a TMS
This paper presents a new approach for exploiting Truth Maintenance Systems(TMSs) which makes them simpler to use without necessarily incurring a substantial performance penalty. ...
Johan de Kleer
157
Voted
AAAI
2008
15 years 3 months ago
Bimodal Spatial Reasoning with Continuous Motion
Symbolic AI systems typically have difficulty reasoning about motion in continuous environments, such as determining whether a cornering car will clear a close obstacle. Bimodal s...
Samuel Wintermute, John E. Laird