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» Object recognition using graph spectral invariants
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CVPR
2007
IEEE
14 years 11 months ago
Discriminant Additive Tangent Spaces for Object Recognition
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
Liang Xiong, Jianguo Li, Changshui Zhang
SPEECH
2011
13 years 4 months ago
SNR loss: A new objective measure for predicting the intelligibility of noise-suppressed speech
Most of the existing intelligibility measures do not account for the distortions present in processed speech, such as those introduced by speech-enhancement algorithms. In the pre...
Jianfen Ma, Philipos C. Loizou
ICCV
2003
IEEE
14 years 11 months ago
Minimum Risk Distance Measure for Object Recognition
Recently, the optimal distance measure for a given object discrimination task under the nearest neighbor framework was derived [1]. For ease of implementation and efficiency consi...
Shyjan Mahamud, Martial Hebert
CVPR
2000
IEEE
14 years 11 months ago
In Search of Illumination Invariants
We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We rst show that for an object with Lambertian r e e ctanc ...
Hansen F. Chen, Peter N. Belhumeur, David W. Jacob...
ECAI
2008
Springer
13 years 10 months ago
Sequential spatial reasoning in images based on pre-attention mechanisms and fuzzy attribute graphs
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics, and graphs...
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch