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JMLR
2008
188views more  JMLR 2008»
15 years 4 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
JMLR
2010
192views more  JMLR 2010»
14 years 11 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
MSWIM
2009
ACM
15 years 11 months ago
How do wireless chains behave?: the impact of MAC interactions
In a Multi-hop Wireless Networks (MHWN), packets are routed between source and destination using a chain of intermediate nodes; chains are a fundamental communication structure in...
Saquib Razak, Vinay Kolar, Nael B. Abu-Ghazaleh, K...
IPPS
2009
IEEE
15 years 11 months ago
Accelerating HMMer on FPGAs using systolic array based architecture
HMMer is a widely-used bioinformatics software package that uses profile HMMs (Hidden Markov Models) to model the primary structure consensus of a family of protein or nucleic aci...
Yanteng Sun, Peng Li, Guochang Gu, Yuan Wen, Yuan ...
IWDW
2007
Springer
15 years 10 months ago
Steganalysis Versus Splicing Detection
Aiming at detecting secret information hidden in a given image using steganographic tools, steganalysis has been of interest since the end of 1990’s. In particular, universal ste...
Yun Q. Shi, Chunhua Chen, Guorong Xuan, Wei Su