936 search results - page 55 / 188 » Learning with Rigorous Support Vector Machines |
113
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
121
Voted
ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
172
Voted
AI
2011
Springer
14 years 7 months ago
2011
Springer
In this paper, we adopt a supervised machine learning approach to recognize six basic emotions (anger, disgust, fear, happiness, sadness and surprise) using a heterogeneous emotion...
141
Voted
ILP
2007
Springer
15 years 10 months ago
2007
Springer
: This paper is concerned with relational Support Vector Machines, at the intersection of Support Vector Machines (SVM) and relational learning or Inductive Logic Programming (ILP)...
158
Voted
JMLR
2012
13 years 6 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...