227 Hits in 5.2 sec

Predicting and Diagnosing User Engagement with Mobile UI Animation via a Data-Driven Approach

Ziming Wu, Yulun Jiang, Yiding Liu, Xiaojuan Ma
2020 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems  
We first crowdsource UE assessments of mobile UI animations.  ...  In this way, two consecutive frames will be assigned to different segments if they have a large pixel-wise difference. Empirically we find that good initialization is essential for convergence.  ...  Specifically, for a given mobile UI animation A = {a 1 , a 2 , ..., a n }, where a i denotes the i th frame of A, we segment it into K segments {S 1 , S 2 , ..., S k }.  ... 
doi:10.1145/3313831.3376324 dblp:conf/chi/WuJLM20 fatcat:dx42gep45rfzdd5axjgf7fa64i

Inferring Searcher Attention by Jointly Modeling User Interactions and Content Salience

Dmitry Lagun, Eugene Agichtein
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
Modeling and predicting user attention is crucial for interpreting search behavior.  ...  Grounding the observed interactions to the underlying page content provides a general and robust approach to user attention modeling, which could enable more powerful tools for search behavior interpretation  ...  These more powerful segmentation mechanisms can be naturally incorporated into the MICS implementation with operates over whatever page elements are provided by the segmentation step.  ... 
doi:10.1145/2766462.2767745 dblp:conf/sigir/LagunA15 fatcat:d5qqtmfssnb5jitsw6h4dkxkya

Hirability in the Wild: Analysis of Online Conversational Video Resumes

Laurent Son Nguyen, Daniel Gatica-Perez
2016 IEEE transactions on multimedia  
Annotations of demographics, skills, and first impressions were collected using the Amazon Mechanical Turk crowdsourcing platform.  ...  Until now, resumes were among the most widely used tools for the screening of job applicants.  ...  Crowdsourced annotations given by each rater were aggregated to obtain one score per video and per variable. For categorical variables, the aggregation was obtained by majority voting.  ... 
doi:10.1109/tmm.2016.2557058 fatcat:v32vjyqchrhzhoscyby4gnvdhe

Image processing and recognition for biological images

Seiichi Uchida
2013 Development, Growth and Differentiation  
Image pattern recognition is the technique to classify an input image into one of the predefined classes and also has a large research area.  ...  As the main tasks of image processing, this paper introduces gray-level transformation, binarization, image filtering, image segmentation, visual object tracking, optical flow and image registration.  ...  This means that we can incorporate various pattern recognition techniques for image segmentation. Third, it is possible to consider some class consistency of neighboring pixels.  ... 
doi:10.1111/dgd.12054 pmid:23560739 pmcid:PMC3746120 fatcat:bbjxka2qmffarazoxor4zqa6me

Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-Organising Maps [article]

T. J. Galvin, M. Huynh, R. P. Norris, X. R. Wang, E. Hopkins, O. I. Wong, S. Shabala, L. Rudnick, M. J. Alger, K. L. Polsterer
2019 arXiv   pre-print
In the second step, images are compared with those prototypes to create a heat-map, which is the morphological fingerprint of each object and the basis for transferring the user generated labels.  ...  These heat-maps have reduced the feature space by a factor of 248 and are able to be used as the basis for subsequent ML methods.  ...  Partial support for LR comes from U.S. National Science Foundation grant AST17-14205 to the University of Minnesota.  ... 
arXiv:1904.02876v1 fatcat:my2snbkrpbde5mp6vqtp3avwoe

Spatiotemporal enabled Content-based Image Retrieval

Mariana Belgiu, Martin Sudmanns, Tiede Dirk, Andrea Baraldi, Stefan Lang
2016 International Conference on GIScience Short Paper Proceedings  
For efficient deployment of sensors in a WSN the coverage estimation is a critical issue. Probabilistic methods are among the most accurate models proposed for sensor coverage estimation.  ...  Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena.  ...  References Cressie NAC, 1993, Statistics for spatial data, Wiley, New York. d'Oleire-Oltmanns S, Marzolff I, Tiede D, and Blaschke T, 2014, Detection of gully-affected areas by applying object-based image  ... 
doi:10.21433/b311729295dw fatcat:fulw4pw3kfh5nmfzcsy3pkisvm

Access Method [chapter]

2017 Encyclopedia of GIS  
polygons or regular pixels.  ...  Thus, progressive approximate aggregate queries are a flexible way of implementing aggregate query answering.  ...  Research in spatial statistics has suggested many alternative methods to incorporate spatial dependence into autoregressive regression models, as explained in the following section.  ... 
doi:10.1007/978-3-319-17885-1_100021 fatcat:ruj53dunmjhihjmn2svftoof2a

Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight [article]

Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, Yoav Artzi
2019 arXiv   pre-print
reinforcement learning for continuous control.  ...  We propose a joint simulation and real-world learning framework for mapping navigation instructions and raw first-person observations to continuous control.  ...  We thank Dipendra Misra, Alane Suhr, and the anonymous reviewers for their helpful comments.  ... 
arXiv:1910.09664v1 fatcat:x5mv37qlw5e77cppqv2tzb6fg4

Learning with Vertically-Partitioned Data, Binary Feedback, and Random Parameter Update

Ngu Nguyen, Stephan Sigg
2019 IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)  
Segmentation After the first phase of extracting key frames, the k k selected images are then segmented into scenes, based on the similarity of visual features (cf. Section 3.3.2).  ...  The correlation between proximity and context similarity makes the sensor data suitable for unattended proximity-based device pairing.  ... 
doi:10.1109/infcomw.2019.8845203 dblp:conf/infocom/NguyenS19 fatcat:cjgyjbtyhrejhdn37okuaq3nmi

D3.3- Data products initial report

Jason Tsardanidis, Vasileios Sitokonstantinou, Athanasios Drivas, Haris Kontoes, Ifigeneia Tsioutsia, Panos Ilias
2022 Zenodo  
This deliverable is based on the "D3.2 Catalogue on auxiliary data and available repositories to be incorporated" and will be the basis for the next deliverable of these Tasks, more specifically the D3.7  ...  Thus, DataCAP considered to be a generic tool that leverage big satellite data and crowdsourced street-level images for monitoring CAP.  ...  , taking into account the proximity to the closest surface waters.  ... 
doi:10.5281/zenodo.6303626 fatcat:g7n4vrm7ergprdccxn2lr6secq

Quality Metrics for Information Visualization

M. Behrisch, M. Blumenschein, N. W. Kim, L. Shao, M. El-Assady, J. Fuchs, D. Seebacher, A. Diehl, U. Brandes, H. Pfister, T. Schreck, D. Weiskopf (+1 others)
2018 Computer graphics forum (Print)  
For this purpose, we present a commonly applicable quality metric formalization that should detail and relate all constituting parts of a quality metric.  ...  For each data type, we select the visualization subdomains in which quality metrics are an active research field and report their findings, reason on the underlying concepts, describe goals and outline  ...  Acknowledgments The authors would like to thank the German Research Foundation (DFG) for their financial support within the projects A03, B01, B02, and Task Force 1 of SFB/Transregio 161, and the Priority  ... 
doi:10.1111/cgf.13446 fatcat:775eyicidnfbnemnjznmlt2cqm

Sliver Removal in Object-Based Change Detection from VHR Satellite Images

Luigi Barazzetti
2016 Photogrammetric Engineering and Remote Sensing  
The authors also thank the anonymous reviews for their constructive comments and suggestions. Acknowledgments  ...  Acknowledgments The work was supported by the National Basic Research Program of China (973 Program, No. 2014CB744201, 2012CB719901), a Foundation for the Author of National Excellent Doctoral Dissertation  ...  Then, the edges are embedded into watershed segmentation (Vincent and Soille, 1991) for initial image segmentation.  ... 
doi:10.14358/pers.82.2.161 fatcat:b2n5myfsp5cariggcod6iiuzau

A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications [article]

Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
2018 arXiv   pre-print
It converts the graph data into a low dimensional space in which the graph structural information and graph properties are maximally preserved.  ...  For example, to facilitate image related applications (e.g., image segmentation, image classification), researchers (e.g., [80] , [81] , [82] ) construct a graph from each image by treating pixels as  ...  Image related: Some work embeds graphs constructed from images, and then use the embedding for image classification ( [81] , [82] ), image clustering [101] , image segmentation [154] , pattern recognition  ... 
arXiv:1709.07604v3 fatcat:6w42r4k6rvbodmnuerbqqrxynq

STUD 2019 Blank Page

2019 2019 First International Conference on Smart Technology & Urban Development (STUD)  
������������������������������������������������������������������������������������������������������ 88 1 The readiness of information technology of Rajamangala University of Technology Phra Nakhon for  ...  from the sample group, who was 40 professors from Faculty of Business Administration, Rajamangala University of Technology Phra Nakhon� Findings illustrated that the readiness of information technology for  ...  Semantic Segmentation Semantic segmentation classifies all the pixels of an image into meaningful classes of objects and helps determine the relations between objects, as well as the context of objects  ... 
doi:10.1109/stud49732.2019.9018735 fatcat:w2isrk4dsfg3fneffmbkwv5c7m

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021 Information Fusion  
., selfdriving cars and object detection), image processing (e.g., image restoration), medical image analysis (e.g., medical image classification and segmentation), natural language processing (e.g., text  ...  They incorporated the reversible blocks into an architecture termed PHiSeg that was devised for UQ in medical image segmentation.  ...  They resolved visual question answering tasks. The gradients for the estimates were enhanced by incorporating probabilistic deep learning techniques.  ... 
doi:10.1016/j.inffus.2021.05.008 fatcat:yschhguyxbfntftj6jv4dgywxm
« Previous Showing results 1 — 15 out of 227 results