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Classification from a Computable Viewpoint

Wesley Calvert, Julia F. Knight
2006 Bulletin of Symbolic Logic  
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]

Wesley Calvert, Julia F. Knight
2008 arXiv   pre-print
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)

Michiaki Hamada, Kiyoshi Asai
2012 Journal of Computational Biology  
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

Bingquan Shen
2017 Zenodo  
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

A.-M. Cretu, P. Payeur
2011 International Journal on Smart Sensing and Intelligent Systems  
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

Mokhtar Taffar, Serge Miguet, Mohammed Benmohammed
2014 International Journal of Computer Vision and Image Processing  
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  
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

Ruben Hillewaere, Bernard Manderick, Darrell Conklin
2009 Zenodo  
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]

Jinyun Chung, Juho Lee, Hyun Jin Park, Hyun Seung Yang
2006 Lecture Notes in Computer Science  
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

Ahmed J. Afifi, Olaf Hellwich, Toufique A. Soomro
2018 Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
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]

Jinyun Chung, Juho Lee, Hyun Jin Park, Hyun Seung Yang
2006 Lecture Notes in Computer Science  
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]

Chunhui Gu, Xiaofeng Ren
2010 Lecture Notes in Computer Science  
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]

Zhou Lingtao, Fang Jiaojiao, Liu Guizhong
2019 arXiv   pre-print
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

Timothy Patten, Michael Zillich, Robert Fitch, Markus Vincze, Salah Sukkarieh
2016 IEEE Robotics and Automation Letters  
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

José Oramas M., Luc De Raedt, Tinne Tuytelaars
2017 Computer Vision and Image Understanding  
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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