500 search results - page 75 / 100 » A Framework for Measuring Differences in Data Characteristic... |
136
click to vote
ML
2008
ACM
15 years 4 months ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
140
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
158
click to vote
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
144
click to vote
KDD
2001
ACM
16 years 4 months ago
2001
ACM
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
133
click to vote
MICCAI
2008
Springer
16 years 5 months ago
2008
Springer
Abstract. This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of ma...