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» Spatial Representation for Efficient Sequence Classification
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TMM
2010
135views Management» more  TMM 2010»
13 years 2 months ago
Image Classification With Kernelized Spatial-Context
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
ECAI
2000
Springer
13 years 11 months ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti
PAMI
2011
13 years 2 months ago
Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers
—This paper presents an automatic segmentation algorithm for video frames captured by a (monocular) webcam that closely approximates depth segmentation from a stereo camera. The ...
Pei Yin, Antonio Criminisi, John M. Winn, Irfan A....
CVPR
2007
IEEE
14 years 9 months ago
A Hierarchical Model of Shape and Appearance for Human Action Classification
We present a novel model for human action categorization. A video sequence is represented as a collection of spatial and spatial-temporal features by extracting static and dynamic...
Juan Carlos Niebles, Fei-Fei Li 0002
TIP
2002
111views more  TIP 2002»
13 years 7 months ago
Synergizing spatial and temporal texture
Temporal texture accounts for a large proportion of motion commonly experienced in the visual world. Current temporal texture techniques extract primarily motion-based features for...
Chin-Hwee Peh, Loong Fah Cheong