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185
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CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
139
Voted
CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
164
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MIAR
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
131
Voted
IADIS
2008
15 years 6 months ago
2008
This paper presents an improved software estimation model, which uses to estimate developing effort of e-Learning's contents. This model is called the e-Learning courseware E...
155
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NIPS
1998
15 years 6 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...