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» Large-scale manifold learning
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CHI
1999
ACM
14 years 2 months ago
The Hotbox: Efficient Access to a Large Number of Menu-Items
The proliferation of multiple toolbars and UI widgets around the perimeter of application windows is an indication that the traditional GUI design of a single menubar is not suffi...
Gordon Kurtenbach, George W. Fitzmaurice, Russell ...
JMLR
2010
159views more  JMLR 2010»
13 years 4 months ago
Semi-Supervised Learning with Max-Margin Graph Cuts
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...
Branislav Kveton, Michal Valko, Ali Rahimi, Ling H...

Lecture Notes
1962views
15 years 10 months ago
Lectures on VLSI and Integrated Circuit Design
VLSI (Very Large Scale Integration) CMOS (Complementary Metal Oxide Semiconductor) technology is the main driver of our digital revolution. The goals of these lecture are to learn ...
Sherief Reda
ICPR
2008
IEEE
14 years 4 months ago
Semi-supervised discriminant analysis based on UDP regularization
We propose a semi-supervised learning algorithm for discriminant analysis, which uses the geometric structure of both labeled and unlabeled samples and perform a manifold regulari...
Huining Qiu, Jian-Huang Lai, Jian Huang, Yu Chen
ICTAI
2006
IEEE
14 years 4 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...