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BMCBI
2010
143views more  BMCBI 2010»
13 years 11 months ago
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images
Background: Several algorithms have been proposed for detecting fluorescently labeled subcellular objects in microscope images. Many of these algorithms have been designed for spe...
Pekka Ruusuvuori, Tarmo Äijö, Sharif Cho...
SIGIR
2012
ACM
12 years 1 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
WAPCV
2007
Springer
14 years 4 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
BMCBI
2010
145views more  BMCBI 2010»
13 years 11 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...
CORR
2007
Springer
98views Education» more  CORR 2007»
13 years 10 months ago
Enrichment of Qualitative Beliefs for Reasoning under Uncertainty
– This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic label...
Xinde Li, Xinhan Huang, Florentin Smarandache, Jea...