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Classification from a Computable Viewpoint
2006
Bulletin of Symbolic Logic
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In the present paper, we describe some recent work on classification in computable structure theory. Section 1 gives some background from model theory and descriptive set theory. ...
From descriptive set theory, we describe the basic Polish space of structures for a fixed countable language with fixed countable universe. ...
If we understand that goal of computable classification is to describe each computable member of K, so as to distinguish its computable copies from other computable structures, then something weaker than ...
doi:10.2178/bsl/1146620059
fatcat:efmtdpvde5e2tic5t4wunr4mbu
Classification from a Computable Viewpoint
[article]
2008
arXiv
pre-print
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In the present paper, we describe some recent work on classification in computable structure theory. ...
In model theory and descriptive set theory, there is a large body of work, showing that certain classes of mathematical structures admit classification, while others do not. ...
If we understand that goal of computable classification is to describe each computable member of K, so as to distinguish its computable copies from other computable structures, then something weaker than ...
arXiv:0803.3293v1
fatcat:v64gbjnw4jghreao7w4nszzlxu
A Classification of Bioinformatics Algorithms from the Viewpoint of Maximizing Expected Accuracy (MEA)
2012
Journal of Computational Biology
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We describe how a number of algorithms used in previous studies can be classified from the viewpoint of MEA. ...
Many estimation problems in bioinformatics are formulated as point estimation problems in a high-dimensional discrete space. ...
This work was supported in part by a Grant-in-Aid for Scientific Research on Innovative Areas in Japan.
DISCLOSURE STATEMENT No competing financial interests exist. ...
doi:10.1089/cmb.2011.0197
pmid:22313125
pmcid:PMC3342518
fatcat:pxcpeagqqjb5vbfj532nsbgxpu
Pose Normalization Network For Object Classification
2017
Zenodo
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Given the problem where one have limited viewpoints of a particular object for classification, we present a pose normalization architecture to transform the object to existing viewpoints in the training ...
Moreover, we have shown that the PNN improves the classification result for the 3D chairs dataset and ShapeNet airplanes dataset when given only images at limited viewpoint, as compared to a CNN baseline ...
In general, the classification accuracy decreases as the viewpoint deviates from the viewpoint provided during training. ...
doi:10.5281/zenodo.1129230
fatcat:htphi4662jckfiwegii6yjsnue
BIOLOGICALLY-INSPIRED VISUAL ATTENTION FEATURES FOR A VEHICLE CLASSIFICATION TASK
2011
International Journal on Smart Sensing and Intelligent Systems
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This paper explores the use of human visual attention mechanisms to identify a set of features that allows for fast automated classification of vehicles based on images taken from 6 viewpoints. ...
vehicle classification depending on the combination of viewpoints used. ...
In the current work, visual attention features derived from a bottom-up computational attention model [22] are used as a basis to perform fast automated 5-category vehicle classification from 6 viewpoints ...
doi:10.21307/ijssis-2017-447
fatcat:ufpzbrxkyrcbnf3hn3ftww3miy
Probabilistic Modeling for Detection and Gender Classification
2014
International Journal of Computer Vision and Image Processing
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In this paper, the authors contribute to solve the simultaneous problems of detection and gender classification from any viewpoint. ...
The experimental results show that the face model performs well to detect face and gives a good gender recognition rate in the presence of viewpoint changes and facial appearance variability. ...
RELATED WORKS In face image analysis, determining gender of face from facial trait classification is still a challenge task. ...
doi:10.4018/ijcvip.2014010103
fatcat:nu5jcjq4krflnaxvuteymw7w3i
Real-time vehicle orientation classification and viewpoint-aware vehicle re-identification
2021
IS&T International Symposium on Electronic Imaging Science and Technology
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To this end, we first explore the possibility of extracting accurate viewpoint classification labels from input images bearing computational cost in mind. ...
Authors use the viewpoint annotations from [22] and derive a multi-task mutual learning loss function to jointly optimize network weights for identity and viewpoint classification tasks. ...
Author Biography Oliver Kocsis holds a Masters degree (2020) from Eindhoven University of Technology, where he conducted research in the Vehicle Re-ID field for his thesis work. ...
doi:10.2352/issn.2470-1173.2021.10.ipas-234
fatcat:5qquzokv7zdybbwmmlx5i6mv64
Global Feature Versus Event Models For Folk Song Classification
2009
Zenodo
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Müllensiefen for clarifications of the Fantastic feature set, to Mathieu Bergeron for assistance with the abc2midi code, and to Kerstin Neubarth, Stijn Meganck and Hélène Viratelle for helpful comments on a ...
An extension is the multiple viewpoint model, an ensemble of viewpoints used in aggregation to compute the probability of a sequence. ...
A feature is derived from pitch (duration) when at least one pitch (duration) value is inspected for the feature computation. ...
doi:10.5281/zenodo.1417829
fatcat:xo3neb3hmferpgzfg3mfk33vgu
Viewpoint-Invariant Face Recognition Based on View-Based Representation
[chapter]
2006
Lecture Notes in Computer Science
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The suggested model has four stages: view-based representation, viewpoint classification, frontal face estimation and face recognition. ...
In this paper, we suggest a viewpoint-invariant face recognition model based on view-based representation. ...
Acknowledgments This research was supported by the Brain Neuroinformatics Research Program, which is sponsored by the Ministry of Commerce, Industry and Energy, and by the Ubiquitous Autonomic Computing ...
doi:10.1007/978-3-540-37275-2_109
fatcat:nq3groyt3bgkncpwpyhfzeecf4
Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network
2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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This study addresses this problem by introducing a multi-task CNN architecture that performs object classification and viewpoint estimation simultaneously. ...
This paper proposes a CNN model to tackle the problem of object classification and viewpoint estimation simultaneously, where these problems are opposite in terms of feature representation. ...
In (Oquab et al., 2014) , the authors fine-tuned a pre-trained CNN trained on ImageNet dataset to compute mid-level image representation from images different from ImageNet dataset and perform object ...
doi:10.5220/0006544001770184
dblp:conf/visapp/AfifiHS18
fatcat:d2nbp5esv5ce7aw6mj22sxkbfy
Viewpoint-Invariant Face Recognition Based on View-Based Representation
[chapter]
2006
Lecture Notes in Computer Science
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The suggested model has four stages: view-based representation, viewpoint classification, frontal face estimation and face recognition. ...
In this paper, we suggest a viewpoint-invariant face recognition model based on view-based representation. ...
Acknowledgments This research was supported by the Brain Neuroinformatics Research Program, which is sponsored by the Ministry of Commerce, Industry and Energy, and by the Ubiquitous Autonomic Computing ...
doi:10.1007/11816171_109
fatcat:sdbq7csp7bckdflmyfcfvhyozq
Discriminative Mixture-of-Templates for Viewpoint Classification
[chapter]
2010
Lecture Notes in Computer Science
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Object viewpoint classification aims at predicting an approximate 3D pose of objects in a scene and is receiving increasing attention. ...
State-of-the-art approaches to viewpoint classification use generative models to capture relations between object parts. In this work we propose to use a mixture of holistic templates (e.g. ...
How to model and re-capture the 3D information from 2D views has been at the center of the computer vision research. ...
doi:10.1007/978-3-642-15555-0_30
fatcat:mfvypwb7iff2beaxdynayg3ily
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles
[article]
2019
arXiv
pre-print
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Second, we design a viewpoint classifier by integrated a new sub-branch into the existing multi-branches CNN. ...
Extensive experiments on the KITTI dataset show that, our method not only improves the computational efficiency, but also increases the overall precision of the model, especially to the orientation angle ...
by integrating a new appearance-related branch of viewpoint classification with the former CNN model to do this classification. ...
arXiv:1909.01025v1
fatcat:bo6pna6ffffwvlgmruj5ybtvvu
Viewpoint Evaluation for Online 3-D Active Object Classification
2016
IEEE Robotics and Automation Letters
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The general problem of passive object classification is important in robotics and computer vision. For RGB-D data, methods exist for recognising many instances from a variety of classes [15] . ...
Online, we use ray tracing to predict which points of an object would be visible from a particular viewpoint given the other objects observed so far and thus compute a utility measure that indicates the ...
doi:10.1109/lra.2015.2506901
dblp:journals/ral/PattenZFVS16
fatcat:jwz3jzpbgnbe7gj5mcqoks2ih4
Context-based object viewpoint estimation: A 2D relational approach
2017
Computer Vision and Image Understanding
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2017 pre-print arXiv:1704.06610v1 fatcat:sh73oc2jsbgolbvmtkfzbiwaau
The task of object viewpoint estimation has been a challenge since the early days of computer vision. ...
In this paper, we explore how information from other objects in the scene can be exploited for viewpoint estimation. ...
Acknowledgments: This work was supported by the FWO project SfS, the KU Leuven PDM Grant PDM/16/131, and a NVIDIA Academic Hardware Grant. ...
doi:10.1016/j.cviu.2017.04.005
fatcat:l6z76b2gfjaqpbeueuuy3bpzny
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