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» Bayesian structure from motion using inertial information
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KDD
2008
ACM
257views Data Mining» more  KDD 2008»
15 years 10 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
NIPS
2000
14 years 11 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
SIGIR
2004
ACM
15 years 3 months ago
Usefulness of hyperlink structure for query-biased topic distillation
In this paper, we introduce an information theoretic method for estimating the usefulness of the hyperlink structure induced from the set of retrieved documents. We evaluate the e...
Vassilis Plachouras, Iadh Ounis
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 4 months ago
Combining motion from texture and lines for visual navigation
— Two novel methods for computing 3D structure information from video for a piecewise planar scene are presented. The first method is based on a new line constraint, which clear...
Konstantinos Bitsakos, Li Yi, Cornelia Fermül...