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TREC
2004
15 years 6 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
140
Voted
MM
2009
ACM
209views Multimedia» more  MM 2009»
15 years 11 months ago
Brain state decoding for rapid image retrieval
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
157
Voted
SENSYS
2005
ACM
15 years 10 months ago
Data collection, storage, and retrieval with an underwater sensor network
In this paper we present a novel platform for underwater sensor networks to be used for long-term monitoring of coral reefs and fisheries. The sensor network consists of static a...
Iuliu Vasilescu, Keith Kotay, Daniela Rus, Matthew...
PR
2006
141views more  PR 2006»
15 years 4 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
CLEF
2007
Springer
15 years 10 months ago
University and Hospitals of Geneva Participating at ImageCLEF 2007
This article describes the participation of the University and Hospitals of Geneva at three tasks of the 2007 ImageCLEF image retrieval benchmark. The visual retrieval techniques r...
Xin Zhou, Julien Gobeill, Patrick Ruch, Henning M&...