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CVPR
2003
IEEE
16 years 2 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
107
Voted
IJON
2008
98views more  IJON 2008»
15 years 18 days ago
Factorisation and denoising of 0-1 data: A variational approach
Presence-absence (0-1) observations are special in that often the absence of evidence is not evidence of absence. Here we develop an independent factor model, which has the unique...
Ata Kabán, Ella Bingham
DATE
2010
IEEE
139views Hardware» more  DATE 2010»
14 years 9 months ago
A general mathematical model of probabilistic ripple-carry adders
Probabilistic CMOS is considered a promising technology for future generations of computing devices. By embracing possibly incorrect calculations, the technology makes it possible ...
Mark S. K. Lau, Keck Voon Ling, Yun-Chung Chu, Aru...
74
Voted
ICPR
2002
IEEE
16 years 1 months ago
A Probabilistic Model for Camera Zoom Detection
Camera motion detection is essential for automated video analysis. We propose a new probabilistic model for detecting zoom-in/zoom-out operations. The model uses EM to estimate th...
Rong Jin, Yanjun Qi, Alexander G. Hauptmann
120
Voted
JUCS
2010
115views more  JUCS 2010»
14 years 7 months ago
Redundant Relations in Relational Databases: A Model Theoretic Perspective
: We initiate in this work the study of a sort of redundancy problem revealed by what we call redundant relations. Roughly, we define a redundant relation in a database instance (d...
Flavio Antonio Ferrarotti, Alejandra Lorena Paolet...