152 search results - page 19 / 31 » Learning a Sparse Representation for Object Detection |
108
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PAMI
2008
14 years 9 months ago
2008
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
DEXA
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
89
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ICA
2007
Springer
15 years 1 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
176
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...