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CVPR
2012
IEEE
13 years 9 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
ICIP
2010
IEEE
15 years 4 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
EVOW
2010
Springer
16 years 1 months ago
Evolving 3D Buildings for the Prototype Video Game Subversion
We investigate user-guided evolution for the development of virtual 3D building structures for the prototype (commercial) game Subversion, which is being developed by Introversion ...
Andrew Martin, Andrew Lim, Simon Colton, Cameron B...
FASE
2009
Springer
16 years 1 months ago
Reducing the Costs of Bounded-Exhaustive Testing
Abstract. Bounded-exhaustive testing is an automated testing methodology that checks the code under test for all inputs within given bounds: first the user describes a set of test...
Vilas Jagannath, Yun Young Lee, Brett Daniel, Dark...
COLING
1996
15 years 8 months ago
Reversible delayed lexical choice in a bidirectional framework
We describe a bidirectional framework for natural language parsing and generation, using a typedfeatureformalismand an HPSG-based grammar with a parser and generator derived from ...
Graham Wilcock, Yuji Matsumoto