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PRL
2008
91views more  PRL 2008»
15 years 6 months ago
Fuzzy relevance vector machine for learning from unbalanced data and noise
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...
Dingfang Li, Wenchao Hu, Wei Xiong, Jin-Bo Yang
ICASSP
2011
IEEE
14 years 10 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
ANLP
2000
126views more  ANLP 2000»
15 years 7 months ago
Compound Noun Segmentation Based on Lexical Data Extracted from Corpus
Compound noun analysis is one of the crucial problems in Korean language processing because a series of nouns in Korean may appear without white space in real texts, which makes i...
Juntae Yoon
TIP
2008
69views more  TIP 2008»
15 years 6 months ago
An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data
We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Johnathan M. Bardsley
FECS
2006
80views Education» more  FECS 2006»
15 years 7 months ago
A Redesigned Undergraduate Data Communication and Networking Course Incorporating Theory and Practice
Data Communication and Computer Networking is a traditional undergraduate CS course. Classic teaching focuses on communication protocol and algorithm analysis, plus socket programm...
Ziping Liu