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177
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NC
2011
175views Neural Networks» more  NC 2011»
14 years 11 months ago
P systems with active membranes: trading time for space
We consider recognizer P systems having three polarizations associated to the membranes, and we show that they are able to solve the PSPACEcomplete problem Quantified 3SAT when wo...
Antonio E. Porreca, Alberto Leporati, Giancarlo Ma...
CVPR
2010
IEEE
16 years 26 days ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
146
Voted
IJCV
2006
262views more  IJCV 2006»
15 years 4 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
JMLR
2006
140views more  JMLR 2006»
15 years 4 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
151
Voted
CVPR
2011
IEEE
15 years 22 days ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...