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ICML
2004
IEEE
14 years 10 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
WALCOM
2010
IEEE
230views Algorithms» more  WALCOM 2010»
14 years 4 months ago
Comparing RNA Structures with Biologically Relevant Operations Cannot Be Done without Strong Combinatorial Restrictions
Abstract. Arc-annotated sequences are useful for representing structural information of RNAs and have been extensively used for comparing RNA structures in both terms of sequence a...
Guillaume Blin, Sylvie Hamel, Stéphane Vial...
ACMICEC
2007
ACM
107views ECommerce» more  ACMICEC 2007»
14 years 1 months ago
A family of growth models for representing the price process in online auctions
Bids during an online auction arrive at unequally-spaced discrete time points. Our goal is to capture the entire continuous price-evolution function by representing it as a functi...
Valerie Hyde, Wolfgang Jank, Galit Shmueli
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
14 years 4 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
MM
2006
ACM
181views Multimedia» more  MM 2006»
14 years 3 months ago
Towards content-based relevance ranking for video search
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
Wei Lai, Xian-Sheng Hua, Wei-Ying Ma