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CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
13 years 11 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
CCS
2008
ACM
13 years 9 months ago
Deconstructing new cache designs for thwarting software cache-based side channel attacks
Software cache-based side channel attacks present a serious threat to computer systems. Previously proposed countermeasures were either too costly for practical use or only effect...
Jingfei Kong, Onur Aciiçmez, Jean-Pierre Se...
SPIN
2010
Springer
13 years 6 months ago
Analysing Mu-Calculus Properties of Pushdown Systems
Pushdown systems provide a natural model of software with recursive procedure calls. We provide a tool implementing an algorithm for computing the winning regions of a pushdown par...
Matthew Hague, C.-H. Luke Ong
ICDAR
2009
IEEE
13 years 5 months ago
A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs
In this paper, an approach based on the combination of discrete Hidden Markov Models (HMMs) in the ROC space is proposed to improve the performance of off-line signature verificat...
Luana Batista, Eric Granger, Robert Sabourin
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 2 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe