... criterion.
Keywords: Face recognition, support vector machines,
optimal separating hyperplane, binary tree, eigenface, prin-
cipal component analysis.
1 Introduction
Face recognition technology ... a vector of
weights, which is the projection of the face image to the ba-
sis in the eigenface space. Usually the nearest distance cri-
terion is used for face recognition.
Sup...
... Sessions, pages 57–60,
Prague, June 2007.
c
2007 Association for Computational Linguistics
Support Vector Machines for Query-focused Summarization trained and
evaluated on Pyramid data
Maria Fuentes
TALP ... Center
Universitat Polit`ecnica de Catalunya
horacio@lsi.upc.edu
Abstract
This paper presents the use of Support
Vector Machines (SVM) to detect rele-
vant information to be...
... information. The resulting vocabu-
lary consisted of 276 words and 56 POS tags.
4.3 Support Vector Machines
Support vector machines (SVMs) are a machine
learning technique used in a variety of text classi-
fication ... have shown the bene-
fit of using statistical language models.
In this paper, we also use support vector
machines to combine features from tradi-
tional reading...
... be
computed for support vectors only, which makes it affordable for small numbers
of support vectors. Additionally, parts of the calculation such as the dot products
x
h
.x
k
between support vectors ... This is not the case for
support vectors which show a mix of all possibilities. This particular gene subset selected by SVM
RFE corresponds to the smallest number of support vecto...
... 1998), we focus on active learning with Sup-
port Vector Machines (SVMs) because of their per-
formance.
The Support Vector Machine, which is introduced
by Vapnik (1995), is a powerful new statistical ... learning
where
. To train an SVM is to find
the
and the by solving the following optimiza-
tion problem:
maximize
subject to
3 Active Learning for Support Vector
Machines
3....
... for Computational Linguistics
Joint Training of Dependency Parsing Filters through
Latent Support Vector Machines
Colin Cherry
Institute for Information Technology
National Research Council Canada
colin.cherry@nrc-cnrc.gc.ca
Shane ... ·
¯
Φ(None
a
)
´
is shown next to its arrow.
by higher-scoring subclassifiers (Item 2).
3 Accounting for Arc Length
We can extend our system by expandi...
... an algorithm to
automatically generate a list of cognates in
a target language by means of Support
Vector Machines. While Levenshtein
distance was used to align the training file,
no knowledge ... available, we decided to opt for
SVMTool, a generator of sequential taggers based
on Support Vector Machines developed by
Gimenez and Marquez (2004). In fact, various
experime...