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» Learning to Align: A Statistical Approach
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AAAI
2008
13 years 10 months ago
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
Kayur Patel, James Fogarty, James A. Landay, Bever...
ACCV
2007
Springer
14 years 1 months ago
Coarse-to-Fine Statistical Shape Model by Bayesian Inference
In this paper, we take a predefined geometry shape as a constraint for accurate shape alignment. A shape model is divided in two parts: fixed shape and active shape. The fixed shap...
Ran He, Stan Z. Li, Zhen Lei, ShengCai Liao
ICCV
2007
IEEE
14 years 9 months ago
Blurred/Non-Blurred Image Alignment using Sparseness Prior
Aligning a pair of blurred and non-blurred images is a prerequisite for many image and video restoration and graphics applications. The traditional alignment methods such as direct...
Lu Yuan, Jian Sun, Long Quan, Heung-Yeung Shum
IWLCS
2000
Springer
13 years 11 months ago
Strength and Money: An LCS Approach to Increasing Returns
This paper reports on a number of experiments where three different groups of artificial agents learn, forecast and trade their holdings in a real stock market scenario given exoge...
Sonia Schulenburg, Peter Ross
AVBPA
2003
Springer
306views Biometrics» more  AVBPA 2003»
14 years 24 days ago
Fingerprint Alignment Using Similarity Histogram
The performance of fingerprint matching algorithm relies heavily on the accuracy of fingerprint alignment. Falsely aligning two feature sets extracted from two finger images of a f...
Tanghui Zhang, Jie Tian, Yuliang He, Xin Yang