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JMLR
2012
13 years 6 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
NIPS
2007
15 years 5 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
ICPR
2002
IEEE
15 years 9 months ago
Better Features to Track by Estimating the Tracking Convergence Region
Reliably tracking key points and textured patches from frame to frame is the basic requirement for many bottomup computer vision algorithms. The problem of selecting the features ...
Zoran Zivkovic, Ferdinand van der Heijden
AIED
2005
Springer
15 years 6 months ago
Introducing adaptive assistance in adaptive testing
In this paper, we discuss the development of a theoretical framework for introducing adaptive presentation in adaptive testing. To this end, a discussion of some aspects concerning...
Ricardo Conejo, Eduardo Guzmán, José...
LREC
2010
150views Education» more  LREC 2010»
15 years 5 months ago
Multi-Channel Database of Spontaneous Czech with Synchronization of Channels Recorded by Independent Devices
This paper describes Czech spontaneous speech database of lectures collected at Czech Technical University in Prague, commonly with the procedure of its recording and annotation. ...
Petr Pollák, Josef Rajnoha