Concept

Colon classification

Related publications (18)

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Material Classification Using Color and NIR Images

Sabine Süsstrunk, Neda Salamati

Material classification is becoming more important in computer vision and digital photography applications, which require accurate classification of objects present in the imaged scene. This is a very challenging task because the sheer diversity of scene c ...

2009

Fast high-dimensional Bayesian classification and clustering

Vahid Partovi Nia

We introduce a fast approach to classification and clustering applicable to high-dimensional continuous data, based on Bayesian mixture models for which explicit computations are available. This permits us to treat classification and clustering in a single ...

EPFL2009

Classifying Material in the Real World

Barbara Caputo

Classifying materials from their appearance is challenging. Impressive results have been obtained under varying illumination and pose conditions. Still, the effect of scale variations and the possibility to generalise across different material samples are ...

2009

Classifying Materials in the Real World

Barbara Caputo

IDIAP2007

On Performance / Robustness / Complexity Trade-Offs in Face Verification

Samy Bengio

In much of the literature devoted to face recognition, experiments are performed with controlled images (e.g. manual face localization, controlled lighting, background and pose); however, a practical recognition system has to be robust to more challenging ...

IDIAP2004

The use of Boolean concepts in general classification contexts

This thesis discusses certain issues related to the treatment of classification problems using techniques that rely on Boolean concepts. The interest of using Boolean-based models in classification is demonstrated with the help of LAD (Logical Analysis of ...

Ecole Polytechnique Federale de Lausanne2000

The use of Boolean concepts in general classification contexts

IDIAP2000

Support Vector Machine for Multiclass Classification

Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of

K

SVMs can be used to solve a

K

-class classification problem, such a procedure requires some c ...

IDIAP1998

Support Vector Machine for Multiclass Classification

Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of

K

SVMs can be used to solve a

K

-class classification problem, such a procedure requires some c ...

IDIAP1998