
A Simple AdmissibleConstraint Optimization Method to Reduce Bias in Online Learning
A Simple AdmissibleConstraint Optimization Method to Reduce Bias in Online Learning – We present a methodology for online learning of sparse coding representations. It is based on the concept of a novel sparse coding representation called random dictionary representation. The random dictionary representation corresponds to a sparse coding representation with a mixture of covariance matrix. […]

A survey of perceptualmotor training
A survey of perceptualmotor training – We present the first generalpurpose unsupervised learning network for music classification in an unsupervised setting: an unsupervised training of a large scale dataset of music tracks. We use the datasets collected in 2009 to perform an unsupervised classification process on the data, by comparing labels on each label to […]

Comparing the LearningModel Classroom Approach, ConstraintBased Approach, and Conceptual Space
Comparing the LearningModel Classroom Approach, ConstraintBased Approach, and Conceptual Space – The success of deep learning systems requires a careful consideration of the complex interplay between learning and computational learning. In this work, we propose an endtoend approach to the analysis of deep neural networks. In particular, we address the problem of finding a suitable […]

DeepDance: Video Pose Prediction with Visual Feedback
DeepDance: Video Pose Prediction with Visual Feedback – The paper presents a joint learning model for the supervised and unsupervised pose estimation problem. This involves learning a sequence of video sequences that is invariant to local motion, but that is invariant to humanlike motion. The two tasks are related: the first allows to extract a […]

Directional Age Estimation from Facial Patches
Directional Age Estimation from Facial Patches – In this work, we present an indepth evaluation of two facial reconstructions using different visualizations and algorithms. The results show that facial features extracted from facial images can significantly improve the accuracy of facial facial reconstructions, outperforming the conventional methods. The performance of the models is also improved […]

Deep MultiObjective Goal Modeling
Deep MultiObjective Goal Modeling – We consider the problem of predicting the future in a single target environment through the use of the MDP. We assume that the target environment is a single image, and a prediction is performed to find the minimum distance to this image from its initial target. We derive a novel […]

Recurrent Reinforcement Learning with SpatiallyVarying Recurrent Neural Networks
Recurrent Reinforcement Learning with SpatiallyVarying Recurrent Neural Networks – We propose an efficient approach to predict the next action of an actionsequence with a deep learning approach. The prediction is performed directly from an online prediction of the actionsequence from a prediction model, thus offering an efficient method for learning actionsequence based actionsequence models for […]

A Note on the GURLS constraint
A Note on the GURLS constraint – This article is about a constraint to determine a probability distribution over nonconvex graphs. This constraint is useful in a variety of applications, including graphs that are intractable for other constraints. The problem is to find the probability distribution of the graph in each dimension and thus efficiently […]

A deep learning model for the identification of drivers with susceptibility to fraud
A deep learning model for the identification of drivers with susceptibility to fraud – We present an application of a probabilistic learning method for the identification of nonsupervised and supervised drivers. Our model uses the assumption of probability distributions over the nonsupervised attributes. Using a linear transformation, a probabilistic model is constructed with a nondifferentiable […]

A MultiTask Approach to Unsupervised Mobile Vehicle Detection and Localization Using Visual Cues from Social Media
A MultiTask Approach to Unsupervised Mobile Vehicle Detection and Localization Using Visual Cues from Social Media – In this paper, we propose a new neural network based system for the purpose of unsupervised multitask classification based on visualspatial descriptors. The proposed system is a convolutional neural network (CNN) capable of performing well in the task […]