Searching for authors named "Olivier Chapelle" – sorted by Relevance.
33 documents found, showing 1 through 10.
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Training a support vector machine in the primal
- …Most literature on Support Vector Machines (SVMs) concentrate on the dual optimization problem. In this paper, we would like to point out that the primal problem can also be solved efficiently, both for linear and non-linear SVMs, and that there is no reason for ignoring this possibilty. On the cont…
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Support Vector Machines et Classification d' Images
- …this paper is to evaluate the potentiality of SVM on image recognition and image classification tasks. Intuitively, given a set of points which belong to either of two classes, a linear SVM finds the hyperplane leaving the largest possible fraction of points of the same class on the same side, while…
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O.: An analysis of the anti-learning phenomenon for the class symmetric polyhedron
- …Abstract. This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on the test set. This has been observed so far for some natural data sets and demonstrated for some synthetic data …
- Cited by 3 (3 self) – Add To MetaCart
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Incorporating Invariances in Nonlinear Support Vector Machines
- …The choice of an SVM kernel corresponds to the choice of a representation of the data in a feature space and, to improve performance, it should therefore incorporate prior knowledge such as known transformation invariances. We propose a technique which extends earlier work and aims at incorporat…
- Cited by 9 (2 self) – Add To MetaCart
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Object categorization with svm: kernels for local features
- …Abstract. In this paper, we propose to combine an efficient image representation based on local descriptors with a Support Vector Machine classifier in order to perform object categorization. For this purpose, we apply kernels defined on sets of vectors. After testing different combinations of kerne…
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Learning with transformation invariant kernels
- …Abstract. This paper considers kernels invariant to translation, rotation and dilation. We show that no non-trivial positive definite (p.d.) kernels exist which are radial and dilation invariant, only conditionally positive definite (c.p.d.) ones. Accordingly, we discuss the c.p.d. case and provide …
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Large Margin Taxonomy Embedding with an Application to Document Categorization
- …Applications of multi-class classification, such as document categorization, often appear in cost-sensitive settings. Recent work has significantly improved the state of the art by moving beyond “flat ” classification through incorporation of class hierarchies [4]. We present a novel algorithm that …
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MULTI-CLASS FEATURE SELECTION WITH SUPPORT VECTOR MACHINES
- …ABSTRACT: We consider feature selection in a multi-class setting where the goal is to find a small set of features for all the classes simultaneously. We develop an embedded method for this problem using the idea of scaling factors. Training involves the solution of a convex program for which we giv…
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Model Selection for Support Vector Machines
- …New functionals for parameter (model) selection of Support Vector Machines are introduced based on the concepts of the span of support vectors and rescaling of the feature space. It is shown that using these functionals, one can both predict the best choice of parameters of the model and the relativ…
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Bounds on Error Expectation for Support Vector Machines
- …We introduce the concept of span of support vectors (SV) and show that the generalization ability...…
- Cited by 43 (4 self) – Add To MetaCart
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