Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Russell Greiner"'
Publikováno v:
Advances in Visual Computing ISBN: 9783642419133
ISVC (1)
ISVC (1)
An algorithm is presented for fully automated brain tumor segmentation from only two magnetic resonance image modalities. The technique is based on three steps: 1 alternating different levels of automatic histogram-based multi-thresholding step, 2 pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22aa012cce25e1a4b55492b3737a93a5
https://doi.org/10.1007/978-3-642-41914-0_4
https://doi.org/10.1007/978-3-642-41914-0_4
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783642208409
PAKDD (1)
PAKDD (1)
Many learning algorithms perform poorly when the training data are incomplete. One standard approach involves first imputing the missing values, then giving the completed data to the learning algorithm. However, this is especially problematic when th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::067d7287fae46844c1e9447cbc995be4
https://doi.org/10.1007/978-3-642-20841-6_11
https://doi.org/10.1007/978-3-642-20841-6_11
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642130588
Canadian Conference on AI
Canadian Conference on AI
This paper presents the I-map hybrid algorithm for selecting, given a data sample, a linear Gaussian model whose structure is a directed graph The algorithm performs a local search for a model that meets the following criteria: (1) The Markov blanket
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dbe4082365cc52722b91c738c1b319c
https://doi.org/10.1007/978-3-642-13059-5_14
https://doi.org/10.1007/978-3-642-13059-5_14
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 ISBN: 9783540859871
MICCAI (1)
MICCAI (1)
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as either tumor or non-tumor, based on a description of that voxel. Unfortuna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::933c45295c48ddfb573ba65708dacfe6
https://doi.org/10.1007/978-3-540-85988-8_43
https://doi.org/10.1007/978-3-540-85988-8_43
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540439417
SARA
SARA
This paper explores the formulation of image interpretation as a Markov Decision Process (MDP) problem, highlighting the important assumptions in the MDP formulation. Furthermore state abstraction, value function and action approximations as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b4b197c53f58eb9646e1c37505c4fdf
https://doi.org/10.1007/3-540-45622-8_23
https://doi.org/10.1007/3-540-45622-8_23
Publikováno v:
Computer Vision – ECCV 2006 ISBN: 9783540338321
ECCV (1)
ECCV (1)
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects that belong to any of a set of “classes”, many class detection, is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fd62b5d75c2f5c390cdafaddb9ea59e
https://doi.org/10.1007/11744023_28
https://doi.org/10.1007/11744023_28
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783540220046
Canadian Conference on AI
Canadian Conference on AI
Gliomas are diffuse, invasive brain tumors. We propose a 3D classification-based diffusion model, CDM, that predicts how a glioma will grow at a voxel-level, on the basis of features specific to the patient, properties of the tumor, and attributes of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae1748ab49245c65a985aff206ab70a4
https://doi.org/10.1007/11766247_9
https://doi.org/10.1007/11766247_9
Publikováno v:
Grammatical Inference: Algorithms and Applications ISBN: 9783540452645
ICGI
ICGI
In this paper, we present a directed Markov random field model that integrates trigram models, structural language models (SLM) and probabilistic latent semantic analysis (PLSA) for the purpose of statistical language modeling. The SLM is essentially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aef0279dc8c2613867aec45b800ee04
https://doi.org/10.1007/11872436_9
https://doi.org/10.1007/11872436_9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540453741
PKDD
PKDD
We present a discriminative method to classify data that have interdependencies in 2-D lattice. Although both Markov Random Fields (MRFs) and Conditional Random Fields (CRFs) are well-known methods for modeling such dependencies, they are often ineff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::818c4962d183ff4f09a476fa6c31d1a7
https://doi.org/10.1007/11871637_28
https://doi.org/10.1007/11871637_28
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540453741
PKDD
PKDD
Real-world data often involves objects that exhibit multiple relationships; for example, ‘papers' and ‘authors' exhibit both paper-author interactions and paper-paper citation relationships. A typical learning problem requires one to make inferen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7726685e48c4dbffe5a285c4fe37a371
https://doi.org/10.1007/11871637_22
https://doi.org/10.1007/11871637_22