Hausdorff kernel for 3D object acquisition and detection

A Barla, F Odone, A Verri - Computer Vision—ECCV 2002: 7th European …, 2002 - Springer
Learning one class at a time can be seen as an effective solution to classification problems
in which only the positive examples are easily identifiable. A kernel method to accomplish …
被引用次数：35 相关文章

Hausdorff Kernel for 3D Object Acquisition and Detection

A Barla, F Odone, A Verri - Proceedings of the 7th European Conference …, 2002 - dl.acm.org
Learning one class at a time can be seen as an effective solution to classification problems
in which only the positive examples are easily identifiable. A kernel method to accomplish …
[PDF] academia.edu

[PDF][PDF] Hausdorff Kernel for 3D Object Acquisition and Detection

A Barla, F Odone, A Verri - academia.edu
Learning one class at a time can be seen as an effective solution to classification problems
in which only the positive examples are easily identifiable. A kernel method to accomplish …
[PDF] researchgate.net

[PDF][PDF] Hausdorff Kernel for 3D Object Acquisition and Detection

A Barla, F Odone, A Verri - researchgate.net
Learning one class at a time can be seen as an effective solution to classification problems
in which only the positive examples are easily identifiable. A kernel method to accomplish …

Hausdorff Kernel for 3D Object Acquisition and Detection

A Barla, F Odone, A Verri - Computer Vision—ECCV 2002 - infona.pl
Learning one class at a time can be seen as an effective solution to classification problems
in which only the positive examples are easily identifiable. A kernel method to accomplish …
[PDF] academia.edu

[PDF][PDF] Hausdorff Kernel for 3D Object Acquisition and Detection

A Barla, F Odone, A Verri - academia.edu
Learning one class at a time can be seen as an effective solution to classification problems
in which only the positive examples are easily identifiable. A kernel method to accomplish …

[引用][C] Hausdorff Kernel for 3D Object Acquisition and Detection

A Barla, F Odone, A Verri - Computer Vision—ECCV 2002, 2006 - Springer