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ICML
1999
IEEE
16 years 7 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
WWW
2005
ACM
16 years 7 months ago
A uniform approach to accelerated PageRank computation
In this note we consider a simple reformulation of the traditional power iteration algorithm for computing the stationary distribution of a Markov chain. Rather than communicate t...
Frank McSherry
CHI
2004
ACM
16 years 7 months ago
Designing a compelling user interface for morphing
We present a new user interface for the common morphing tool found in animation packages. Previously this interface has been based on the features of the underlying algorithm, wit...
David Vronay, Shuo Wang
DCC
2004
IEEE
16 years 6 months ago
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding
We introduce three new innovations for compression using LDPCs for the Slepian-Wolf problem. The first is a general iterative Slepian-Wolf decoding algorithm that incorporates the...
Anna H. Lee, Michelle Effros, Muriel Médard...
ICCAD
2006
IEEE
125views Hardware» more  ICCAD 2006»
16 years 3 months ago
Leveraging protocol knowledge in slack matching
Stalls, due to mis-matches in communication rates, are a major performance obstacle in pipelined circuits. If the rate of data production is faster than the rate of consumption, t...
Girish Venkataramani, Seth Copen Goldstein
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