60 search results - page 4 / 12 » Implicit spatial inference with sparse local features |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, we propose a method for extracting color image features, called color index local auto-correlations. Pixel color is quantized and described sparsely in a manner sim...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
AAAI
2006
13 years 9 months ago
2006
Following verbal route instructions requires knowledge of language, space, action and perception. We present MARCO, an agent that follows free-form, natural language route instruc...