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ECCV
2004
Springer
15 years 23 hour 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...
ICIP
2010
IEEE
13 years 8 months ago
Saliency detection based on short-term sparse representation
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei X...
PUC
2010
122views more  PUC 2010»
13 years 8 months ago
What is happening now? Detection of activities of daily living from simple visual features
We propose and investigate a paradigm for activity recognition, distinguishing the ‘on-going activity’ recognition task (OGA) from that addressing ‘complete activities’ (C...
Bruno Lepri, Nadia Mana, Alessandro Cappelletti, F...
EUSFLAT
2009
177views Fuzzy Logic» more  EUSFLAT 2009»
13 years 8 months ago
Fuzzy Voxel Object
In this paper, computer vision and fuzzy set theory are merged for the robust construction of three-dimensional objects using a small number of cameras and minimal a priori knowled...
Derek Anderson, Robert H. Luke III, Erik E. Stone,...
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 3 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani