Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shahriar Shariat"'
Autor:
Saeid Bashash, Shahriar Shariat
Publikováno v:
Precision Engineering. 56:267-279
This paper presents a frequency-domain data-driven control design method for improving the robustness and performance of a large population of hard disk drives. First, a multi-rate notch filter design method is presented to prevent the aliasing of po
Autor:
Shahriar Shariat, Saeid Bashash
Publikováno v:
ACC
This paper presents a data-driven control design framework for population-level robustness and performance enhancement in hard disk drives (HDDs). First, a frequency-domain control design scheme is presented, where the stability, robustness, and perf
Publikováno v:
Knowledge and Information Systems. 51:37-60
Online media provides opportunities for marketers through which they can deliver effective brand messages to a wide range of audiences at scale. Advertising technology platforms enable advertisers to reach their target audience by delivering ad impre
Autor:
Kleovoulos Tsourides, Ngai-Man Cheung, Shahriar Shariat, Tapan K. Gandhi, Hossein Nejati, Pawan Sinha, Christopher T. Simons, Annie Cardinaux, Vladimir Pavlovic
Publikováno v:
Biological Psychology. 115:35-42
An evolutionarily ancient skill we possess is the ability to distinguish between food and non-food. Our goal here is to identify the neural correlates of visually driven 'edible-inedible' perceptual distinction. We also investigate correlates of the
Autor:
Shahriar Shariat, Vladimir Pavlovic
Traditional pairwise sequence alignment is based on matching individual samples from two sequences, under time monotonicity constraints. However, in many application settings matching subsequences (segments) instead of individual samples may bring in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3189bcbb3ae763e675d07fb491cc962
http://arxiv.org/abs/1609.08201
http://arxiv.org/abs/1609.08201
Autor:
Shahriar Shariat, Jianqiang Shen, Fang Bian, Burkay Orten, Daniel Liu, Sahin Cem Geyik, Ali Dasdan
Publikováno v:
ICDM
Real-Time Bidding allows an advertiser to purchase media inventory through an auction system that unfolds in the order of milliseconds. Media providers are increasingly being integrated into such programmatic buying platforms. It is typical for a con
Publikováno v:
ICDM
Online media provides opportunities for marketers through which they can deliver effective brand messages to a wide range of audiences. Advertising technology platforms enable advertisers to reach their target audience by delivering ad impressions to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd95948311f9046b3222918cc89e8036
Autor:
Shahriar Shariat, Vladimir Pavlovic
Publikováno v:
ICCV
The problem of human activity recognition is a central problem in many real-world applications. In this paper we propose a fast and effective segmental alignment-based method that is able to classify activities and interactions in complex environment
Autor:
Shahriar Shariat, Vladimir Pavlovic
Publikováno v:
ICCV
This paper presents an approach for sequence alignment based on canonical correlation analysis(CCA). We show that a novel set of constraints imposed on traditional CCA leads to canonical solutions with the time warping property, i.e., non-decreasing
Publikováno v:
2010 IEEE International Workshop on Machine Learning for Signal Processing.
This paper presents a systematic application of machine learning techniques for classifying high-density EEG signals elicited by face and non-face stimuli. The two stimuli used here are derived from the vase-faces illusion and share the same defining