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189
Voted
VIS
2004
IEEE
16 years 8 months ago
2004
IEEE
We describe a method for processing large amounts of volumetric data collected from a Knife Edge Scanning Microscope (KESM). The neuronal data that we acquire consists of thin, br...
225
Voted
ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
197
Voted
ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, however, even storing all of th...
186
Voted
ICML
2006
IEEE
16 years 8 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
188
Voted
WWW
2004
ACM
16 years 8 months ago
2004
ACM
We present a framework for approximating random-walk based probability distributions over Web pages using graph aggregation. We (1) partition the Web's graph into classes of ...