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ISBI
2009
IEEE
15 years 11 months ago
A Non-Parametric Approach to Automatic Change Detection in MRI Images of the Brain
We present a novel approach to change detection between two brain MRI scans (reference and target.) The proposed method uses a single modality to find subtle changes; and does no...
Hae Jong Seo, Peyman Milanfar
CIKM
2009
Springer
15 years 11 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
137
Voted
AVSS
2007
IEEE
15 years 11 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
142
Voted
MICCAI
2007
Springer
15 years 10 months ago
A Clinically Motivated 2-Fold Framework for Quantifying and Classifying Immunohistochemically Stained Specimens
Motivated by the current limitations of automated quantitative image analysis in discriminating among intracellular immunohistochemical (IHC) staining patterns, this paper presents...
Bonnie Hall, Wenjin Chen, Michael Reiss, David J. ...
134
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SIGIR
2005
ACM
15 years 10 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft