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CVPR
2011
IEEE
15 years 2 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
ICCV
2011
IEEE
14 years 6 months ago
Data-driven Crowd Analysis in Videos
In this work we present a new crowd analysis algorithm powered by behavior priors that are learned on a large database of crowd videos gathered from the Internet. The algorithm wo...
Mikel Rodriguez, Josef Sivic, Ivan Laptev, Jean-Yv...
AAAI
2006
15 years 8 months ago
Tensor Embedding Methods
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
Guang Dai, Dit-Yan Yeung
CSEE
2000
Springer
15 years 11 months ago
Technology Transfer Issues for Formal Methods of Software Specification
Accurate and complete requirements specifications are crucial for the design and implementation of high-quality software. Unfortunately, the articulation and verification of softw...
Ken Abernethy, John C. Kelly, Ann E. Kelley Sobel,...
ICPR
2008
IEEE
16 years 7 months ago
Multiple view based 3D object classification using ensemble learning of local subspaces
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
Jianing Wu, Kazuhiro Fukui