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» A discriminative model for semi-supervised learning
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ISM
2005
IEEE
91views Multimedia» more  ISM 2005»
14 years 2 months ago
Research on the Discrimination of Pornographic and Bikini Images
Our research extends the general technologies detecting pornographic images to prevent the benign images whose content is approximate with the pornographic ones from being screene...
Yushi Wang, Weiqiang Wang, Wen Gao
NIPS
2007
13 years 10 months ago
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...
Christoforos Christoforou, Paul Sajda, Lucas C. Pa...
IJCV
2006
161views more  IJCV 2006»
13 years 8 months ago
Discriminative Random Fields
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
Sanjiv Kumar, Martial Hebert
AUSAI
2008
Springer
13 years 10 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
ICML
2001
IEEE
14 years 9 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...