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UAI
1998
15 years 4 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
133
Voted
VLDB
1999
ACM
89views Database» more  VLDB 1999»
15 years 7 months ago
Physical Data Independence, Constraints, and Optimization with Universal Plans
We present an optimization method and algorithm designed for three objectives: physical data independence, semantic optimization, and generalized tableau minimization. The method ...
Alin Deutsch, Lucian Popa, Val Tannen
105
Voted
ICIP
1999
IEEE
16 years 5 months ago
Real Time Vector Median Like Filter FPGA Design and Application to Color Image Filtering
In this paper, the hardware implementation of a vector median like filter is proposed. Firstly, the extension of median filtering to the case of multicomponent images is addressed...
Jocelyn Chanussot, Michel Paindavoine, Patrick Lam...
129
Voted
SIGCOMM
2005
ACM
15 years 9 months ago
A case study in building layered DHT applications
Recent research has shown that one can use Distributed Hash Tables (DHTs) to build scalable, robust and efficient applications. One question that is often left unanswered is that ...
Yatin Chawathe, Sriram Ramabhadran, Sylvia Ratnasa...
104
Voted
WACV
2008
IEEE
15 years 9 months ago
Online/Realtime Structure and Motion for General Camera Models
This paper presents a novel algorithm for online structure and motion estimation. The algorithm works for general camera models and minimizes object space error, it does not rely ...
Gerald Schweighofer, Sinisa Segvic, Axel Pinz