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» Object detection at multiple scales improves accuracy
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CVPR
2007
IEEE
15 years 4 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
ICIAP
2003
ACM
15 years 10 months ago
Classification method for colored natural textures using Gabor filtering
In texture analysis the common methods are based on the gray levels of the texture image. However, the use of color information improves the classification accuracy of the colored...
Leena Lepistö, Iivari Kunttu, Jorma Autio, Ar...
ICB
2009
Springer
119views Biometrics» more  ICB 2009»
15 years 4 months ago
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference
We propose a scalable face matching algorithm capable of dealing with faces subject to several concurrent and uncontrolled factors, such as variations in pose, expression, illumina...
Conrad Sanderson, Brian C. Lovell
CVPR
2003
IEEE
15 years 12 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
VMCAI
2005
Springer
15 years 3 months ago
Generalized Typestate Checking for Data Structure Consistency
Abstract. We present an analysis to verify abstract set specifications for programs that use object field values to determine the membership of objects in abstract sets. In our a...
Patrick Lam, Viktor Kuncak, Martin C. Rinard