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» Minimal Kernel Classifiers
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ECCV
2008
Springer
15 years 11 months ago
Towards Scalable Dataset Construction: An Active Learning Approach
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...
Brendan Collins, Jia Deng, Kai Li, Fei-Fei Li 0002
ECCV
2004
Springer
15 years 11 months ago
A Linguistic Feature Vector for the Visual Interpretation of Sign Language
Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
Richard Bowden, David Windridge, Timor Kadir, Andr...
ICIAP
2005
ACM
15 years 10 months ago
3D Functional Models of Monkey Brain Through Elastic Registration of Histological Sections
In this paper we describe a method for the reconstruction and visualization of functional models of monkey brains. Models are built through the registration of high resolution imag...
Fabio Bettio, Francesca Frexia, Andrea Giachetti, ...
ICDT
1990
ACM
110views Database» more  ICDT 1990»
15 years 1 months ago
Beginnings of a Theory of General Database Completions
Ordinary logical implication is not enough for answering queries in a logic database, since especially negative information is only implicitly represented in the database state. M...
Stefan Brass
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
14 years 11 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...