ºÝºÝߣshows by User: EmanuelaMarasco / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: EmanuelaMarasco / Sun, 22 Jun 2014 15:08:49 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: EmanuelaMarasco Fingerprint Anti-Spoofing [ Talk in Stanford Nov. 2013] /slideshow/fingeprint-spoofinganti-spoofingtalkstanfordnov2013/36168320 fingeprintspoofinganti-spoofingtalkstanford-140622150849-phpapp02
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]]> Sun, 22 Jun 2014 15:08:49 GMT /slideshow/fingeprint-spoofinganti-spoofingtalkstanfordnov2013/36168320 EmanuelaMarasco@slideshare.net(EmanuelaMarasco) Fingerprint Anti-Spoofing [ Talk in Stanford Nov. 2013] EmanuelaMarasco <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fingeprintspoofinganti-spoofingtalkstanford-140622150849-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Fingerprint Anti-Spoofing [ Talk in Stanford Nov. 2013] from Emanuela Marasco
]]> 1382 6 https://cdn.slidesharecdn.com/ss_thumbnails/fingeprintspoofinganti-spoofingtalkstanford-140622150849-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Gender Estimation from Fingerprints / Image De-identification for Gender /slideshow/gender-estimation-from-fingerprints/35351986 mipropresentation-140601060408-phpapp01
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]]> Sun, 01 Jun 2014 06:04:08 GMT /slideshow/gender-estimation-from-fingerprints/35351986 EmanuelaMarasco@slideshare.net(EmanuelaMarasco) Gender Estimation from Fingerprints / Image De-identification for Gender EmanuelaMarasco <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mipropresentation-140601060408-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Gender Estimation from Fingerprints / Image De-identification for Gender from Emanuela Marasco
]]> 920 3 https://cdn.slidesharecdn.com/ss_thumbnails/mipropresentation-140601060408-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Detecting STR Peaks in Degraded DNA samples /slideshow/bico-b-2012-31409538/31409538 bicob2012-140219174520-phpapp01
Human identification from DNA is typically based on 13 short-tandem repeat (STR) alleles. Commercial kits used in forensic casework rely on the detection of these alleles in DNA samples acquired from an individual. However, the process itself is slow (it can take up to 2 days when conducting a laboratory analysis or 1 hour when using Rapid DNA systems) and has been designed to operate on pristine DNA samples. The need for achieving fast and accurate DNA processing has spurred efforts in developing portable systems that can reduce the processing time to less than 1 hour. But such systems are expected to operate on degraded DNA samples due to the architecture and process used by the instrument. Consequently, detecting the alleles in such degraded DNA samples can be a challenging problem. In this paper, we present an algorithm to detected allelic peaks from degraded DNA signals based on an adaptive signal processing scheme. ]]>
Human identification from DNA is typically based on 13 short-tandem repeat (STR) alleles. Commercial kits used in forensic casework rely on the detection of these alleles in DNA samples acquired from an individual. However, the process itself is slow (it can take up to 2 days when conducting a laboratory analysis or 1 hour when using Rapid DNA systems) and has been designed to operate on pristine DNA samples. The need for achieving fast and accurate DNA processing has spurred efforts in developing portable systems that can reduce the processing time to less than 1 hour. But such systems are expected to operate on degraded DNA samples due to the architecture and process used by the instrument. Consequently, detecting the alleles in such degraded DNA samples can be a challenging problem. In this paper, we present an algorithm to detected allelic peaks from degraded DNA signals based on an adaptive signal processing scheme. ]]> Wed, 19 Feb 2014 17:45:20 GMT /slideshow/bico-b-2012-31409538/31409538 EmanuelaMarasco@slideshare.net(EmanuelaMarasco) Detecting STR Peaks in Degraded DNA samples EmanuelaMarasco Human identification from DNA is typically based on 13 short-tandem repeat (STR) alleles. Commercial kits used in forensic casework rely on the detection of these alleles in DNA samples acquired from an individual. However, the process itself is slow (it can take up to 2 days when conducting a laboratory analysis or 1 hour when using Rapid DNA systems) and has been designed to operate on pristine DNA samples. The need for achieving fast and accurate DNA processing has spurred efforts in developing portable systems that can reduce the processing time to less than 1 hour. But such systems are expected to operate on degraded DNA samples due to the architecture and process used by the instrument. Consequently, detecting the alleles in such degraded DNA samples can be a challenging problem. In this paper, we present an algorithm to detected allelic peaks from degraded DNA signals based on an adaptive signal processing scheme. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bicob2012-140219174520-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Human identification from DNA is typically based on 13 short-tandem repeat (STR) alleles. Commercial kits used in forensic casework rely on the detection of these alleles in DNA samples acquired from an individual. However, the process itself is slow (it can take up to 2 days when conducting a laboratory analysis or 1 hour when using Rapid DNA systems) and has been designed to operate on pristine DNA samples. The need for achieving fast and accurate DNA processing has spurred efforts in developing portable systems that can reduce the processing time to less than 1 hour. But such systems are expected to operate on degraded DNA samples due to the architecture and process used by the instrument. Consequently, detecting the alleles in such degraded DNA samples can be a challenging problem. In this paper, we present an algorithm to detected allelic peaks from degraded DNA signals based on an adaptive signal processing scheme.
Detecting STR Peaks in Degraded DNA samples from Emanuela Marasco
]]> 3071 5 https://cdn.slidesharecdn.com/ss_thumbnails/bicob2012-140219174520-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-EmanuelaMarasco-48x48.jpg?cb=1518546428 Emanuela Marasco is currently an Adjunct Professor at University of North Carolina at Charlotte UNCC, Department of Computer Science. She is instructor of ITCS 2175 - 003 :"Logic & Algorithms"​, UNCC Fall 2015. She is a Post-doctoral Associate Researcher in Pattern Recognition and Biometrics at UNCC, supervised by Prof. and Chair Bojan Cukic. She is a member of the Video and Image Analysis lab (VIAlab) at UNC-C. From February 2011 to January 2015 she was a post-doctoral Associate Researcher at Lane Department of Computer Science and Electrical Engineering, West Virginia University and at the Center for Identification Technology (CiTeR-NSF). From February 2011 to December 2012 she was a . http://wpage.unina.it/emanuela.marasco https://cdn.slidesharecdn.com/ss_thumbnails/fingeprintspoofinganti-spoofingtalkstanford-140622150849-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fingeprint-spoofinganti-spoofingtalkstanfordnov2013/36168320 Fingerprint Anti-Spoof... https://cdn.slidesharecdn.com/ss_thumbnails/mipropresentation-140601060408-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/gender-estimation-from-fingerprints/35351986 Gender Estimation from... https://cdn.slidesharecdn.com/ss_thumbnails/bicob2012-140219174520-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/bico-b-2012-31409538/31409538 Detecting STR Peaks in...