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» Universal Sparse Modeling
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105
Voted
NIPS
2008
15 years 2 months ago
The Infinite Hierarchical Factor Regression Model
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
Piyush Rai, Hal Daumé III
94
Voted
GBRPR
2009
Springer
15 years 7 months ago
A Graph Based Data Model for Graphics Interpretation
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...
Endre Katona
91
Voted
IH
1998
Springer
15 years 5 months ago
An Information-Theoretic Model for Steganography
An information-theoretic model for steganography with passive adversaries is proposed. The adversary's task of distinguishing between an innocent cover message C and a modi e...
Christian Cachin
111
Voted
UAI
2001
15 years 2 months ago
Graphical Models for Game Theory
We introduce a compact graph-theoretic representation for multi-party game theory. Our main result is a provably correct and efficient algorithm for computing approximate Nash equ...
Michael J. Kearns, Michael L. Littman, Satinder P....
110
Voted
CVPR
2010
IEEE
14 years 10 months ago
Growing semantically meaningful models for visual SLAM
Though modern Visual Simultaneous Localisation and Mapping (vSLAM) systems are capable of localising robustly and efficiently even in the case of a monocular camera, the maps prod...
Alexander Flint, Christopher Mei, Ian D. Reid, Dav...