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ICASSP
2009
IEEE
15 years 1 months ago
Directed Markov Stationary Features for visual classification
We investigate how to effectively incorporate spatial structure information into histogram features for boosting visual classification performance motivated by recently proposed M...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim
ECCV
2004
Springer
15 years 11 months ago
A Linguistic Feature Vector for the Visual Interpretation of Sign Language
Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
Richard Bowden, David Windridge, Timor Kadir, Andr...
80
Voted
CVPR
2007
IEEE
15 years 11 months ago
Segmental Hidden Markov Models for View-based Sport Video Analysis
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
Yi Ding, Guoliang Fan
ECAI
2010
Springer
14 years 7 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
ICIP
2009
IEEE
14 years 7 months ago
Selecting representative and distinctive descriptors for efficient landmark recognition
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Sheng Gao, Joo-Hwee Lim