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» Vertical selection in the presence of unlabeled verticals
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SIGIR
2010
ACM
13 years 8 months ago
Vertical selection in the presence of unlabeled verticals
Jaime Arguello, Fernando Diaz, Jean-Françoi...
CSDA
2007
152views more  CSDA 2007»
13 years 4 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 6 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
BCB
2010
156views Bioinformatics» more  BCB 2010»
12 years 11 months ago
RepFrag: a graph based method for finding repeats and transposons from fragmented genomes
Growing sequencing and assembly efforts have been met by the advances in high throughput machines. However, the presence of massive amounts of repeats and transposons complicates ...
Nirmalya Bandyopadhyay, A. Mark Settles, Tamer Kah...
ICML
2003
IEEE
14 years 5 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty