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» Querying Probabilistic Information Extraction
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ECIR
1998
Springer
13 years 9 months ago
Modeling Information Retrieval with Probabilistic Argumentation Systems
Probabilistic Argumentation Systems (PAS) are a technique for representing uncertainty both symbolically and numerically. It is shown that this technique, which combines symbolic ...
Justin Picard, Rolf Haenni
ANLP
2000
163views more  ANLP 2000»
13 years 9 months ago
Automatic construction of parallel English-Chinese corpus for cross-language information retrieval
A major obstacle to the construction of a probabilistic translation model is the lack of large parallel corpora. In this paper we first describe a parallel text mining system that...
Jiang Chen, Jian-Yun Nie
ECCV
2004
Springer
14 years 9 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
DASFAA
2007
IEEE
208views Database» more  DASFAA 2007»
14 years 1 months ago
Probabilistic Nearest-Neighbor Query on Uncertain Objects
Nearest-neighbor queries are an important query type for commonly used feature databases. In many different application areas, e.g. sensor databases, location based services or fac...
Hans-Peter Kriegel, Peter Kunath, Matthias Renz
ICML
2008
IEEE
14 years 8 months ago
Learning to learn implicit queries from gaze patterns
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
Antti Ajanki, Kai Puolamäki, Samuel Kaski