This article extends the subsequentialization algorithm of Mohri by generalizing it for previously untreated classes of transducers. A representational change allows for uniform representation, suitable for further calculus operations. An $epsilon$-closure set, and appropriate modifications using this set, make it possible to handle transducers containing input-side $epsilon$ labels. The closure is found directly, without any transformation of the original transducer. The <I>unknown symbol</I> which is an extension of the usual transducer notation, can be present, if handled specially, in sequentialization and in subsequent finite-state calculus operations and applications. The beneficial effects of these transformations have been tested in real natural language processing examples.
Extended Sequentialization of Transducers
| Tamas Gaal |
| Proc. of Fifth International Conference on Implementation and Application of Automata CIAA 2000 |
The research we conduct on expressive visual representations is applicable to visual search, object detection, image classification and the automatic extraction of 3D human poses and shapes that can be used for human behavior understanding and prediction, human-robot interaction or even avatar animation. We also extract 3D information from images that can be used for intelligent robot navigation, augmented reality and the 3D reconstruction of objects, buildings or even entire cities.
Our work covers the spectrum from unsupervised to supervised approaches, and from very deep architectures to very compact ones. We’re excited about the promise of big data to bring big performance gains to our algorithms but also passionate about the challenge of working in data-scarce and low-power scenarios.
Furthermore, we believe that a modern computer vision system needs to be able to continuously adapt itself to its environment and to improve itself via lifelong learning. Our driving goal is to use our research to deliver embodied intelligence to our users in robotics, autonomous driving, via phone cameras and any other visual means to reach people wherever they may be.
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