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» Machine Learning Techniques to Make Computers Easier to Use
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ITICSE
2010
ACM
13 years 11 months ago
JavaSpaces NetBeans: a linda workbench for distributed programming course
In this paper we introduce the JavaSpaces NetBeans IDE (JSN) which integrates the JavaSpaces technology, an implementation of Linda principles in Java, with the NetBeans1 IDE. JSN...
Magdalena Dukielska, Jacek Sroka
CHI
2003
ACM
14 years 9 months ago
Faceted metadata for image search and browsing
There are currently two dominant interface types for searching and browsing large image collections: keywordbased search, and searching by overall similarity to sample images. We ...
Ka-Ping Yee, Kirsten Swearingen, Kevin Li, Marti A...
ICMI
2009
Springer
198views Biometrics» more  ICMI 2009»
14 years 3 months ago
Detecting, tracking and interacting with people in a public space
We have built a system that engages naive users in an audiovisual interaction with a computer in an unconstrained public space. We combine audio source localization techniques wit...
Sunsern Cheamanunkul, Evan Ettinger, Matt Jacobsen...
ML
2002
ACM
167views Machine Learning» more  ML 2002»
13 years 9 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 10 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy