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SIGIR
2005
ACM
15 years 11 months ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
ECAI
2004
Springer
15 years 11 months ago
Avatars That Learn How to Behave
It is possible to model avatars that learn to simulate object manipulations and other complex actions. A number of applications may benefit from this technique including safety, e...
Adam Szarowicz, Paolo Remagnino
SIGIR
2003
ACM
15 years 11 months ago
The TREC-like evaluation of music IR systems
This poster reports upon the ongoing efforts being made to establish TREC-like and other comprehensive evaluation paradigms within the Music IR (MIR) and Music Digital Library (MD...
J. Stephen Downie
ICASSP
2008
IEEE
16 years 19 days ago
Parsing-based objective functions for speech recognition in translation applications
This paper looks at a parsing-based alternative to word error rate (WER) for optimizing recognition, SParseval, hypothesizing that it may be a better objective for applications su...
Dustin Hillard, Mei-Yuh Hwang, Mary P. Harper, Mar...
ICPR
2008
IEEE
16 years 19 days ago
SIFT features for object recognition and tracking within the IVSEE system
In this paper, we study the feasibility of SIFT features for the tasks of object recognition and tracking within the framework of the IVSEE system design. The IVSEE system is inte...
Fernando López-García