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ICCV
2003
IEEE
15 years 5 months ago
The Catchment Feature Model for Multimodal Language Analysis
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
Francis K. H. Quek
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 3 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
JCP
2008
114views more  JCP 2008»
14 years 10 months ago
A Novel Feature Selection Algorithm Based on Hypothesis-Margin
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...
Ming Yang, Fei Wang, Ping Yang
CHI
2002
ACM
16 years 2 days ago
The impact of human-centered features on the usability of a programming system for children
HANDS is a new programming system for children that was designed for usability. This paper examines the effectiveness of three features of HANDS: queries, aggregate operations, an...
John F. Pane, Brad A. Myers
AMR
2005
Springer
106views Multimedia» more  AMR 2005»
15 years 5 months ago
Surface Features in Video Retrieval
This paper assesses the usefulness of surface features in a multimedia retrieval setting. Surface features describe the metadata or structure of a document rather than the content....
Thijs Westerveld, Arjen P. de Vries, Georgina Ram&...