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» On Learning with Integral Operators
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AIR
2004
113views more  AIR 2004»
15 years 6 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
IDA
1998
Springer
15 years 6 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
PAMI
2010
417views more  PAMI 2010»
15 years 5 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
AAAI
2011
14 years 6 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
DAC
2007
ACM
16 years 7 months ago
Towards An Ultra-Low-Power Architecture Using Single-Electron Tunneling Transistors
Minimizing power consumption is vitally important in embedded system design; power consumption determines battery lifespan. Ultralow-power designs may even permit embedded systems...
Changyun Zhu, Zhenyu (Peter) Gu, Li Shang, Robert ...