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» The Characterization of Data-Accumulating Algorithms
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75
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COLT
1999
Springer
15 years 2 months ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...
WG
1993
Springer
15 years 2 months ago
Dually Chordal Graphs
Recently in several papers, graphs with maximum neighborhood orderings were characterized and turned out to be algorithmically useful. This paper gives a unified framework for cha...
Andreas Brandstädt, Feodor F. Dragan, Victor ...
CODES
2004
IEEE
15 years 1 months ago
Tuning SoC platforms for multimedia processing: identifying limits and tradeoffs
We present a analytical framework to identify the tradeoffs and performance impacts associated with different SoC platform configurations in the specific context of implementing m...
Alexander Maxiaguine, Yongxin Zhu, Samarjit Chakra...
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
74
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SAS
2000
Springer
15 years 1 months ago
A Transformational Approach for Generating Non-linear Invariants
Computing invariants is the key issue in the analysis of infinite-state systems whether analysis means testing, verification or parameter synthesis. In particular, methods that all...
Saddek Bensalem, Marius Bozga, Jean-Claude Fernand...