216 search results - page 27 / 44 » Learning in Gaussian Markov random fields |
148
Voted
CAIP
2009
Springer
15 years 1 months ago
2009
Springer
Abstract. In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel appro...
105
Voted
ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
This paper addresses fluorescence diffuse optical tomography (FDOT) reconstruction problem with a priori information. We assume that approximate location of the fluorophore concen...
154
Voted
NIPS
2004
15 years 4 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
133
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, we propose a new 3D framework to identify and segment VBs and TBs in clinical computed tomography (CT) images without any user intervention. The Matched filter is e...
137
click to vote
ICML
2004
IEEE
15 years 9 months ago
2004
IEEE
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...