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» Adaptive Learning from Evolving Data Streams
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110
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JAIR
2006
110views more  JAIR 2006»
15 years 21 days ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
91
Voted
TOG
2008
104views more  TOG 2008»
15 years 19 days ago
Streaming multigrid for gradient-domain operations on large images
We introduce a new tool to solve the large linear systems arising from gradient-domain image processing. Specifically, we develop a streaming multigrid solver, which needs just tw...
Michael M. Kazhdan, Hugues Hoppe
130
Voted
TELSYS
1998
154views more  TELSYS 1998»
15 years 12 days ago
The Multimedia Internet Terminal (MInT)
The Multimedia Internet Terminal (MINT)1 is a flexible multimedia tool set that allows the establishment and control of multimedia sessions across the Internet. The system archit...
Dorgham Sisalem, Henning Schulzrinne
107
Voted
GRAPHICSINTERFACE
2009
14 years 10 months ago
Fast low-memory streaming MLS reconstruction of point-sampled surfaces
We present a simple and efficient method for reconstructing triangulated surfaces from massive oriented point sample datasets. The method combines streaming and parallelization, m...
Gianmauro Cuccuru, Enrico Gobbetti, Fabio Marton, ...
86
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JUCS
2008
119views more  JUCS 2008»
15 years 21 days ago
A Standards-based Modelling Approach for Dynamic Generation of Adaptive Learning Scenarios
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
Jesus Boticario, Olga C. Santos