3256 search results - page 475 / 652 » Learning Linear Transformations |
187
Voted
SMC
2010
IEEE
15 years 5 months ago
2010
IEEE
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
236
Voted
AAAI
2010
15 years 3 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
226
Voted
CORR
2011
Springer
15 years 2 months ago
2011
Springer
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
193
Voted
FGR
2011
IEEE
14 years 10 months ago
2011
IEEE
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
191
Voted
ICCV
2011
IEEE
14 years 7 months ago
2011
IEEE
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...