Search Results - "Dikmen, Mert"

Robust estimation of foreground in surveillance videos by sparse error estimation by Dikmen, M., Huang, T.S.

“…Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by…”
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A Time To Event Framework For Multi-touch Attribution by Shender, Dinah, Nasiri Amini, Ali, Bao, Xinlong, Dikmen, Mert, Wang, Jing, Richardson Fricke, Amy

“…Multi-touch attribution (MTA) estimates the relative contributions of the multiple ads a user may see prior to any observed conversions. Increasingly,…”
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Detection and quantification of house mouse Eimeria at the species level – Challenges and solutions for the assessment of coccidia in wildlife by Jarquín-Díaz, Víctor Hugo, Balard, Alice, Jost, Jenny, Kraft, Julia, Dikmen, Mert Naci, Kvičerová, Jana, Heitlinger, Emanuel

“…Detection and quantification of coccidia in studies of wildlife can be challenging. Therefore, prevalence of coccidia is often not assessed at the parasite…”
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Visual detection and recognition using local features by Dikmen, Mert

“…Detection and recognition of objects in images is one of the most important problems in computer vision. In this thesis we adhere to a traditional bottom-up…”
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A data driven method for feature transformation by Dikmen, M., Hoiem, D., Huang, T. S.

“…Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature…”
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Base selection in estimating sparse foreground in video by Dikmen, M., Shen-Fu Tsai, Huang, T.S.

“…We investigate effective means of building robust dictionaries for detecting the sparse foreground in videos with static background. This work is an extension…”
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Improving Classification Accuracy by Comparing Local Features through Canonical Correlations by Dikmen, Mert, Huang, Thomas S

“…Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is…”
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A Time To Event Framework For Multi-touch Attribution by Shender, Dinah, Amini, Ali Nasiri, Bao, Xinlong, Dikmen, Mert, Richardson, Amy, Wang, Jing

“…J. data sci.(2023), 1-21 Multi-touch attribution (MTA) estimates the relative contributions of the multiple ads a user may see prior to any observed…”
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Leveraging social network information to recognize people by Dikmen, M., Huang, T. S.

“…Correctly identifying the observed subjects is an important problem camera networks. Prior art[1, 5] has demonstrated that this data association problem is…”
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