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» Results of the KDD'99 Classifier Learning
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CVPR
2005
IEEE
15 years 8 days ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong
ICCV
2007
IEEE
15 years 6 days ago
Discriminative Subsequence Mining for Action Classification
Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a ...
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsud...
BIRD
2008
Springer
131views Bioinformatics» more  BIRD 2008»
14 years 8 days ago
Identifying Subcellular Locations from Images of Unknown Resolution
Our group has previously used machine learning techniques to develop computational systems to automatically analyse fluorescence microscope images and classify the location of the ...
Luís Pedro Coelho, Robert F. Murphy
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 10 months ago
Algorithmic Detection of Computer Generated Text
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Allen Lavoie, Mukkai Krishnamoorthy
ICCV
2005
IEEE
15 years 5 days ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona