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You searched on: Topic Area: Data Mining

Displaying records 1 to 10 of 31 records.
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1. Shape Retrieval of Non-Rigid 3D Human Models
Topic: Data Mining
Published: 4/26/2016
Authors: Afzal A Godil, David Pickup
Abstract: 3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provided a benchmark for testing non-rigid ...

2. A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
Topic: Data Mining
Published: 3/27/2015
Author: Afzal A Godil
Abstract: Large-scale 3D shape retrieval has become an important research direction in content-based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest (SHREC) tracks on large scale comprehensive and sketch-based 3D model retrieva ...

3. Kinetics of the reactions of H and CH3 radicals and n-butane: An experimental design study using reaction network analysis
Topic: Data Mining
Published: 6/17/2014
Authors: David A Sheen, Jeffrey A Manion
Abstract: The oxidation of hydrocarbon fuels proceeds through the attack of small radicals such as H and CH3 on large molecules. These radicals abstract H atoms from the large molecules, which then usually proceed by β-scission to form C2H4 and C3H6. ...

4. SHREC‰14 Track: Retrieval and classification on Textured 3D Models
Topic: Data Mining
Published: 6/12/2014
Author: Afzal A Godil
Abstract: This contribution reports the results of the SHREC 2014 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The ...

5. Feature Measures for the Segmentation of Neuronal Membrane using Machine Learning Algorithm
Topic: Data Mining
Published: 1/6/2014
Authors: Afzal A Godil, Saadia S. Iftikhar
Abstract: In this paper, we present a Support Vector Machine (SVM) based pixel classifier for a semi-automated segmentation algorithm to detect neuronal membrane structures in stacks of electron microscopy images of brain tissue samples. This algorithm uses ...

6. Hybrid shape descriptor and meta similarity generation for non-rigid and partial 3D model retrieval
Topic: Data Mining
Published: 7/26/2013
Author: Afzal A Godil
Abstract: Non-rigid and partial 3D model retrieval are two significant and challenging research directions in the field of 3D model retrieval. Little work has been done in proposing a hybrid shape descriptor that works for both retrieval scenarios, let alone ...

7. CM-BOF: Visual Similarity based 3D Shape Retrieval Using Clock Matching and Bag-of-Features
Topic: Data Mining
Published: 6/6/2013
Authors: Afzal A Godil, Zhouhui Lian
Abstract: Content-based 3D object retrieval has be- come an active topic in many research communities. In this paper, we propose a novel visual similarity based 3Dshaperetrievalmethod(CM-BOF)usingClockMatch- ing and Bag-of-Features. Specifically, pose normal ...

8. SHREC‰13 Track: Large Scale Sketch-Based 3D Shape Retrieval
Topic: Data Mining
Published: 6/6/2013
Authors: Afzal A Godil, Bo Li , Yijuan Lu, Tobias Schreck
Abstract: Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods based on a large scale hand-draw ...

9. Evaluating Real-Time Search over Tweets
Topic: Data Mining
Published: 12/10/2012
Authors: Ian M Soboroff, Dean Paul McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie
Abstract: Twitter offers a phenomenal platform for the social sharing of information. We describe new resources that have been created in the context of the Text Retrieval Conference (TREC) to support the academic study of Twitter as a real-time information so ...

10. Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation
Topic: Data Mining
Published: 12/6/2012
Authors: Yi-Kai Liu, Animashree Anandkumar, Dean P. Foster, Daniel Hsu, Sham M. Kakade
Abstract: The problem of topic modeling can be seen as a generalization of the clustering problem, in that it posits that observations are generated due to multiple latent factors (e.g. the words in each document are generated as a mixture of several activ ...

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