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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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126
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VIP
2003
15 years 4 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
CVPR
2007
IEEE
16 years 5 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
MIR
2006
ACM
141views Multimedia» more  MIR 2006»
15 years 9 months ago
Mining temporal patterns of movement for video content classification
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
Michael Fleischman, Philip DeCamp, Deb Roy
125
Voted
WWW
2005
ACM
16 years 4 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han
136
Voted
SIGDOC
2010
ACM
15 years 1 months ago
A method for measuring helpfulness in online peer review
This paper describes an original method for evaluating peer review in online systems by calculating the helpfulness of an individual reviewer's response. We focus on the deve...
William Hart-Davidson, Michael McLeod, Christopher...