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» Detecting errors using multi-cycle invariance information
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CVPR
2008
IEEE
15 years 11 months ago
Shading models for illumination and reflectance invariant shape detectors
Many objects have smooth surfaces of a fairly uniform color, thereby exhibiting shading patterns that reveal information about its shape, an important clue to the nature of the ob...
Peter Nillius, Josephine Sullivan, Antonis A. Argy...
TIT
1998
70views more  TIT 1998»
14 years 9 months ago
Reduced-Redundancy Product Codes for Burst Error Correction
In a typical burst-error correction application of a product code of nv nh arrays, one uses an [nh; nh rh] code Ch that detects corrupted rows, and an [nv; nv rv] code Cv that is...
Ron M. Roth, Gadiel Seroussi
CVPR
2004
IEEE
15 years 11 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
NIPS
2008
14 years 11 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
ICML
2007
IEEE
15 years 10 months ago
Robust mixtures in the presence of measurement errors
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
Ata Kabán, Jianyong Sun, Somak Raychaudhury