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» MABLE: a framework for learning from natural instruction
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ICIP
2006
IEEE
15 years 11 months ago
Provably Secure Steganography: Achieving Zero K-L Divergence using Statistical Restoration
In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover a...
Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow...
JMLR
2008
209views more  JMLR 2008»
14 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JMLR
2008
148views more  JMLR 2008»
14 years 9 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
IISWC
2008
IEEE
15 years 4 months ago
Accelerating multi-core processor design space evaluation using automatic multi-threaded workload synthesis
The design and evaluation of microprocessor architectures is a difficult and time-consuming task. Although small, handcoded microbenchmarks can be used to accelerate performance e...
Clay Hughes, Tao Li
CIDR
2003
106views Algorithms» more  CIDR 2003»
14 years 11 months ago
Speculative Query Processing
Speculation is an every day phenomenon whereby one acts in anticipation of particular conditions that are likely to hold in the future. Computer science research has seen many suc...
Neoklis Polyzotis, Yannis E. Ioannidis