
Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration
A viewing graph is a set of unknown camera poses, as the vertices, and t...
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Optimal Triangulation Method is Not Really Optimal
Triangulation refers to the problem of finding a 3D point from its 2D pr...
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Accurate and fast matrix factorization for lowrank learning
In this paper we tackle two important challenges related to the accurate...
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Learning with partially separable data
There are partially separable data types that make classification tasks ...
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Simple online and realtime tracking with occlusion handling
Multiple object tracking is a challenging problem in computer vision due...
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Reinforcement Learning with Subspaces using Free Energy Paradigm
In largescale problems, standard reinforcement learning algorithms suff...
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Contour Integration using GraphCut and NonClassical Receptive Field
Many edge and contour detection algorithms give a softvalue as an outpu...
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FRMDN: Flowbased Recurrent Mixture Density Network
Recurrent Mixture Density Networks (RMDNs) are consisted of two main par...
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DeepRBF Networks Revisited: Robust Classification with Rejection
One of the main drawbacks of deep neural networks, like many other class...
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A Recursive Least Square Method for 3D Pose Graph Optimization Problem
Pose Graph Optimization (PGO) is an important nonconvex optimization pr...
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Exploiting generalization in the subspaces for faster modelbased learning
Due to the lack of enough generalization in the statespace, common meth...
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An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization
We consider maximum likelihood estimation for Gaussian Mixture Models (G...
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Geometric Mean Metric Learning
We revisit the task of learning a Euclidean metric from data. We approac...
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Manifold Optimization for Gaussian Mixture Models
We take a new look at parameter estimation for Gaussian Mixture Models (...
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Inference and Mixture Modeling with the Elliptical Gamma Distribution
We study modeling and inference with the Elliptical Gamma Distribution (...
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Mixtures of conditional Gaussian scale mixtures applied to multiscale image representations
We present a probabilistic model for natural images which is based on Ga...
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Reshad Hosseini
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