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» A Training Method with Small Computation for Classification
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CVPR
2005
IEEE
14 years 10 months ago
Pedestrian Detection in Crowded Scenes
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes with severe overlaps. Our basic premise is that this problem is too difficult for any t...
Bastian Leibe, Edgar Seemann, Bernt Schiele
ECCV
2008
Springer
14 years 9 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
ICPR
2008
IEEE
14 years 9 months ago
Rapid signer adaptation for continuous sign language recognition using a combined approach of eigenvoices, MLLR, and MAP
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
Christoph Blömer, Karl-Friedrich Kraiss, Ulri...
BMVC
2001
13 years 10 months ago
Detection Algorithm of Particle Contamination in Reticle Images with Continuous Wavelet Transform
This paper presents an inspection method of particle contamination for semiconductor reticles using continuous wavelet transform. Particle defect is considered as a singularity in...
Chaoquan Chen, Guoping Qiu
CVPR
2008
IEEE
14 years 10 months ago
Image super-resolution as sparse representation of raw image patches
This paper addresses the problem of generating a superresolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed s...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma