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3,618
Handling Discontinuities in Stereovisual Alignment Tasks
"... For more than a decade the capabilities of incompletely calibrated stereo systems have been formally characterized. These characterizations provide theoretical limits on the tasks that visually guided robotic systems can achieve. Within these limits there are several feature-alignment tasks whose im ..."
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For more than a decade the capabilities of incompletely calibrated stereo systems have been formally characterized. These characterizations provide theoretical limits on the tasks that visually guided robotic systems can achieve. Within these limits there are several feature-alignment tasks whose
Evalita 2011: Forced alignment task
- In Evaluation of Natural Language and Speech Tools for Italian
, 2013
"... Abstract. Forced alignment both for words and phones is a challenging and interesting task for automatic speech processing systems because the difficulties introduced by natural speech are many and hard to deal with. Furthermore, forced alignment approaches have been tested on Italian just in a few ..."
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Cited by 1 (0 self)
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Abstract. Forced alignment both for words and phones is a challenging and interesting task for automatic speech processing systems because the difficulties introduced by natural speech are many and hard to deal with. Furthermore, forced alignment approaches have been tested on Italian just in a
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
, 2000
"... Researchers in the ontology-design field have developed the content for ontologies in many domain areas. Recently, ontologies have become increasingly common on the WorldWide Web where they provide semantics for annotations in Web pages. This distributed nature of ontology development has led t ..."
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Cited by 503 (12 self)
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of the sharing process. We have developed and implemented PROMPT, an algorithm that provides a semi-automatic approach to ontology merging and alignment. PROMPT performs some tasks automatically and guides the user in performing other tasks for which his intervention is required.
The Alignment Template Approach to Statistical Machine Translation
, 2004
"... A phrase-based statistical machine translation approach — the alignment template approach — is described. This translation approach allows for general many-to-many relations between words. Thereby, the context of words is taken into account in the translation model, and local changes in word order f ..."
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Cited by 480 (26 self)
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–English Canadian Hansards task, the alignment template system obtains significantly better results than a single-word-based translation model. In the Chinese–English 2002 National Institute of Standards and Technology (NIST) machine translation evaluation it yields statistically significantly better NIST scores
Isi’s participation in the romanianenglish alignment task
- In (this volume
, 2005
"... We discuss results on the shared task of Romanian-English word alignment. The baseline technique is that of symmetrizing two word alignments automatically gener-ated using IBM Model 4. A simple vo-cabulary reduction technique results in an improvement in performance. We also report on a new alignmen ..."
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Cited by 4 (1 self)
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We discuss results on the shared task of Romanian-English word alignment. The baseline technique is that of symmetrizing two word alignments automatically gener-ated using IBM Model 4. A simple vo-cabulary reduction technique results in an improvement in performance. We also report on a new
Supporting Ontology Alignment Tasks with Edge Bundling
"... Ontologies are commonly used for knowledge representation and to exchange information between multiple applications. When the same information is represented by different over-lapping ontologies, information sharing requires a mapping between corresponding pairs of entities. While ontology alignment ..."
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alignment algorithms have been developed to support such tasks, they generally do not offer entirely complete and pre-cise mappings. As a result, an important interactive aspect of the ontology alignment process is the validation of auto-matically generated mappings, as well as the addition of new mappings
UNINA System for the EVALITA 2011 Forced Alignment Task
"... Abstract. This report presents the system proposed and the results obtained by our group for the EVALITA 2011 Forced Alignment on Spontaneous Speech task. The system is composed of a module for acoustic modelling, which uses the SPRAAK toolkit, and a second one for the processing of textual informa ..."
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Abstract. This report presents the system proposed and the results obtained by our group for the EVALITA 2011 Forced Alignment on Spontaneous Speech task. The system is composed of a module for acoustic modelling, which uses the SPRAAK toolkit, and a second one for the processing of textual
Using information about multi-word expressions for the word-alignment task
- In Proc. of the COLING/ACL 2006 Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
, 2006
"... It is well known that multi-word expres-sions are problematic in natural language processing. In previous literature, it has been suggested that information about their degree of compositionality can be helpful in various applications but it has not been proven empirically. In this pa-per, we propos ..."
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Cited by 16 (0 self)
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propose a framework in which information about the multi-word expres-sions can be used in the word-alignment task. We have shown that even simple features like point-wise mutual informa-tion are useful for word-alignment task in English-Hindi parallel corpora. The align-ment error rate which we achieve
A Survey of Image Registration Techniques
- ACM Computing Surveys
, 1992
"... Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at different times, from different sensors or from different viewpoints. Over the years, a broad range of techniques have been developed for the various types of data and problems. These ..."
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Cited by 979 (2 self)
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Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at different times, from different sensors or from different viewpoints. Over the years, a broad range of techniques have been developed for the various types of data and problems
Neural Network-Based Face Detection
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1998
"... We present a neural network-based upright frontal face detection system. A retinally connected neural network examines small windows of an image and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network. We present ..."
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Cited by 1206 (22 self)
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a straightforward procedure for aligning positive face examples for training. To collect negative examples, we use a bootstrap algorithm, which adds false detections into the training set as training progresses. This eliminates the difficult task of manually selecting nonface training examples
Results 1 - 10
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