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CVPR
2009
IEEE
17 years 1 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICML
2009
IEEE
16 years 7 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
CHI
2007
ACM
16 years 7 months ago
Koala: capture, share, automate, personalize business processes on the web
We present Koala, a system that enables users to capture, share, automate, and personalize business processes on the web. Koala is a collaborative programming-bydemonstration syst...
Greg Little, Tessa A. Lau, Allen Cypher, James Lin...
IAT
2007
IEEE
16 years 1 months ago
Survey of Tools for Collaborative Knowledge Construction and Sharing
The fast growth and spread of Web 2.0 environments have demonstrated the great willingness of general Web users to contribute and share various type of content and information. Ma...
Gianluca Correndo, Harith Alani
WETICE
2003
IEEE
15 years 12 months ago
WebDAVA: An Administrator-Free Approach To Web File-Sharing
Collaboration over the Internet depends on the ability of the members of a group to exchange data in a secure yet unobtrusive manner. WebDAVA is a system that allows users to deļ¬...
Alexander Levine, Vassilis Prevelakis, John Ioanni...