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» A comparative study of two object recognition methods
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LREC
2010
170views Education» more  LREC 2010»
15 years 5 months ago
Transcription Methods for Consistency, Volume and Efficiency
This paper describes recent efforts at Linguistic Data Consortium at the University of Pennsylvania to create manual transcripts as a shared resource for human language technology...
Meghan Lammie Glenn, Stephanie Strassel, Haejoong ...
169
Voted
ICIP
2006
IEEE
16 years 5 months ago
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features
This paper proposes a novel facial expression recognition approach based on two sets of features extracted from the face images: texture features and global appearance features. T...
Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeu...
208
Voted
SPIESR
2004
196views Database» more  SPIESR 2004»
15 years 5 months ago
Automatic textual annotation of video news based on semantic visual object extraction
In this paper, we present our work for automatic generation of textual metadata based on visual content analysis of video news. We present two methods for semantic object detectio...
Nozha Boujemaa, François Fleuret, Val&eacut...
CISS
2007
IEEE
15 years 10 months ago
Cooperation Strategies for Two Co-located receivers, with no CSI at the transmitter
— We study the case of a single transmitter, which communicates to two co-located users, through an independent block Rayleigh fading channel. The co-location nature of the users...
Amichai Sanderovich, Avi Steiner, Shlomo Shamai
BMCBI
2008
122views more  BMCBI 2008»
15 years 3 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang