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» New Features to Identify Computer Generated Images
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ICIAP
2009
ACM
14 years 7 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
SI3D
2003
ACM
14 years 8 days ago
Interactive image-based rendering using feature globalization
Image-based rendering (IBR) systems enable virtual walkthroughs of photorealistic environments by warping and combining reference images to novel viewpoints under interactive user...
Daniel G. Aliaga, Dimah Yanovsky, Thomas A. Funkho...
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 15 days ago
Feature Selection for High Dimensional Face Image Using Self-organizing Maps
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
WWW
2010
ACM
14 years 1 months ago
Identifying spam link generators for monitoring emerging web spam
In this paper, we address the question of how we can identify hosts that will generate links to web spam. Detecting such spam link generators is important because almost all new s...
Young-joo Chung, Masashi Toyoda, Masaru Kitsuregaw...
ICCV
1999
IEEE
14 years 9 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe