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ICPR
2008
IEEE
14 years 10 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
SODA
2004
ACM
89views Algorithms» more  SODA 2004»
13 years 10 months ago
Interpolation search for non-independent data
We define a deterministic metric of "well-behaved data" that enables searching along the lines of interpolation search. Specifically, define to be the ratio of distance...
Erik D. Demaine, Thouis R. Jones, Mihai Patrascu
ICIP
2005
IEEE
14 years 10 months ago
Content-based video copy detection in large databases: a local fingerprints statistical similarity search approach
Recent methods based on interest points and local fingerprints have been proposed to perform robust CBCD (content-based copy detection) of images and video. They include two steps...
Alexis Joly, Carl Frélicot, Olivier Buisson
NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICDE
2007
IEEE
117views Database» more  ICDE 2007»
14 years 10 months ago
Clustering wavelets to speed-up data dissemination in structured P2P MANETs
This paper introduces a fast data dissemination method for structured peer-to-peer networks. The work is motivated on one side by the increase in non-volatile memory available on ...
Mihai Lupu, Jianzhong Li, Beng Chin Ooi, Shengfei ...