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COLT
2008
Springer
13 years 10 months ago
An Information Theoretic Framework for Multi-view Learning
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
Karthik Sridharan, Sham M. Kakade
BMCBI
2007
86views more  BMCBI 2007»
13 years 9 months ago
Tandem mass spectrometry data quality assessment by self-convolution
Background: Many algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs...
Keng Wah Choo, Wai Mun Tham
SIAMNUM
2010
126views more  SIAMNUM 2010»
13 years 3 months ago
Smoothing under Diffeomorphic Constraints with Homeomorphic Splines
In this paper we introduce a new class of diffeomorphic smoothers based on general spline smoothing techniques and on the use of some tools that have been recently developed in th...
Jérémie Bigot, Sébastien Gada...
WWW
2001
ACM
14 years 9 months ago
Intelligent crawling on the World Wide Web with arbitrary predicates
The enormous growth of the world wide web in recent years has made it important to perform resource discovery e ciently. Consequently, several new ideas have been proposed in rece...
Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann