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» Requirements for Machine Lifelong Learning
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ICML
2008
IEEE
16 years 1 months ago
On-line discovery of temporal-difference networks
We present an algorithm for on-line, incremental discovery of temporal-difference (TD) networks. The key contribution is the establishment of three criteria to expand a node in TD...
Takaki Makino, Toshihisa Takagi
UAI
2000
15 years 2 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
121
Voted
AAAI
2012
13 years 3 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
101
Voted
SIGGRAPH
2000
ACM
15 years 5 months ago
Style machines
We approach the problem of stylistic motion synthesis by learning motion patterns from a highly varied set of motion capture sequences. Each sequence may have a distinct choreogra...
Matthew Brand, Aaron Hertzmann
130
Voted
CVPR
2011
IEEE
14 years 8 months ago
Learning a Blind Measure of Perceptual Image Quality
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; howe...
Huixuan Tang, Neel Joshi, Ashish Kapoor