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» Unsupervised Learning of Invariant Features Using Video
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TCSV
2008
143views more  TCSV 2008»
13 years 7 months ago
High-Speed Action Recognition and Localization in Compressed Domain Videos
We present a compressed domain scheme that is able to recognize and localize actions in real-time1 . The recognition problem is posed as performing an action video query on a test ...
Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, S...
JBI
2007
148views Bioinformatics» more  JBI 2007»
13 years 7 months ago
A method for linking computed image features to histological semantics in neuropathology
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...
ICAISC
2010
Springer
13 years 9 months ago
Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...
Olcay Kursun, Ethem Alpaydin
LREC
2010
126views Education» more  LREC 2010»
13 years 9 months ago
Predictive Features for Detecting Indefinite Polar Sentences
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...
Michael Wiegand, Dietrich Klakow
MMM
2007
Springer
176views Multimedia» more  MMM 2007»
14 years 2 months ago
An Efficient Automatic Video Shot Size Annotation Scheme
Abstract. This paper presents an efficient learning scheme for automatic annotation of video shot size. Instead of existing methods that applied in sports videos using domain knowl...
Meng Wang, Xian-Sheng Hua, Yan Song, Wei Lai, Li-R...