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» New Support Vector Algorithms
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112
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HYBRID
1998
Springer
15 years 6 months ago
Large Patterns Make Great Symbols: An Example of Learning from Example
We look at distributed representation of structure with variable binding, that is natural for neural nets and allows traditional symbolic representation and processing. The repres...
Pentti Kanerva
121
Voted
PCM
2010
Springer
145views Multimedia» more  PCM 2010»
15 years 13 days ago
Efficient Coding of Motion Vector Predictor Using Phased-in Code
The H.264/AVC video coding standard performs inter prediction using variable block sizes to improve coding efficiency. Since we predict not only the motion of the homogeneous regio...
Ji-Hee Moon, Yo-Sung Ho
105
Voted
FCS
2006
15 years 4 months ago
New Approach To A Class Of Matrices
The displacement structure is extended to a Kronecker matrix W Z. A new class of Kronecker-like matrices with the displacement rank r, r < n will be formulated and presented. ...
Z. Chen
NIPS
2001
15 years 4 months ago
Kernel Logistic Regression and the Import Vector Machine
The support vector machine (SVM) is known for its good performance in binary classification, but its extension to multi-class classification is still an on-going research issue. I...
Ji Zhu, Trevor Hastie
DICTA
2008
15 years 3 months ago
Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu