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HIKM
2006
ACM
15 years 8 months ago
Automatic document indexing in large medical collections
Term extraction relates to extracting the most characteristic or important terms (words or phrases) in a document. This information is commonly used for improving the accuracy of ...
Angelos Hliaoutakis, Kalliopi Zervanou, Euripides ...
142
Voted
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 4 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
141
Voted
CIKM
2011
Springer
14 years 2 months ago
Citation count prediction: learning to estimate future citations for literature
In most of the cases, scientists depend on previous literature which is relevant to their research fields for developing new ideas. However, it is not wise, nor possible, to trac...
Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, Xi...
164
Voted
TMC
2012
13 years 5 months ago
Relay-Assisted Transmission with Fairness Constraint for Cellular Networks
Abstract—We consider the problem of relay-assisted transmission for cellular networks. In the considered system, a source node together with n relay nodes are selected in a propo...
Erwu Liu, Qinqing Zhang, Kin K. Leung
145
Voted
DOCENG
2006
ACM
15 years 8 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...