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Now showing items 31-36 of 36
Using high-level synthesis for rapid design of video processing pipes
(IEEE, 2016)
In this work, we share our experience in using High-Level Synthesis (HLS) for rapid development of an optical flow design on FPGA. We have performed HLS using Vivado HLS as well as a HLS tool we have developed for the ...
SOBE: Source behavior estimation for subjective opinions In multiagent systems
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2016)
In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources
of these opinions may not always be competent and honest but more likely erroneous or even ...
Source behavior discovery for fusion of subjective opinions
(IEEE, 2016)
Information is at the center of decision making in many systems and use-cases. In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions ...
Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance
(IEEE, 2016-04)
In this paper, we present a systematic study of the vulnerability of automatic speaker verification to a diverse range of spoofing attacks. We start with a thorough analysis of the spoofing effects of five speech synthesis ...
Spoofing attacks to i-vector based voice verification systems using statistical speech synthesis with additive noise and countermeasure
(IEEE, 2016)
Even though improvements in the speaker verification (SV) technology with i-vectors increased their real-life deployment, their vulnerability to spoofing attacks is a major concern. Here, we investigated the effectiveness ...
Alt kesit seviyeleri arasında oy çoğunluğu ile sahne tanıma
(2016)
In this paper, scene recognition problem, which is a frequently-studied field of computer vision, is tackled. Proposed algorithm utilizes bag of words (BoW) method along with considering sub-segments in the image during ...
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