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ICCV
2003
IEEE
15 years 10 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
149
Voted
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 9 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»
15 years 3 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 5 months 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 10 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&...