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JMLR
2010
202views more  JMLR 2010»
14 years 4 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
COMPLEX
2009
Springer
15 years 1 months ago
Non-sufficient Memories That Are Sufficient for Prediction
The causal states of computational mechanics define the minimal sufficient (prescient) memory for a given stationary stochastic process. They induce the -machine which is a hidden...
Wolfgang Löhr, Nihat Ay
ICMCS
2006
IEEE
128views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database
In order to allow for fast recognition of a user’s affective state we discuss innovative holistic and self organizing approaches for efficient facial expression analysis. The f...
Frank Wallhoff, Björn Schuller, Michael Hawel...
SOCO
2008
Springer
14 years 9 months ago
A face recognition system based on Pseudo 2D HMM applied to neural network coefficients
Face recognition from an image or video sequences is emerging as an active research area with numerous commercial and law enforcement applications. In this paper different Pseudo 2...
Vitoantonio Bevilacqua, Lucia Cariello, Gaetano Ca...
ICDAR
2009
IEEE
14 years 7 months ago
A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs
In this paper, an approach based on the combination of discrete Hidden Markov Models (HMMs) in the ROC space is proposed to improve the performance of off-line signature verificat...
Luana Batista, Eric Granger, Robert Sabourin