نتایج جستجو برای: semi quantitative feature

تعداد نتایج: 671023  

Journal: :international journal of occupational hygiene 0
mohammadjavad jafari department of occupational health eng, faculty of health, shahid beheshti university of medical sciences, evin, chamran freeway, tehran, iran. shimasadat lajevardi department of environment and energy, islamic azad university, science & re-search branch, simon bolivar blvd, poonak, tehran, iran. iraj mohammad-fam department of occupational health eng, faculty of health, hamadan university of medical sciences, hamadan, iran.

the safety of hydrogen generation facilities is the main concern in their process operation. this study was conducted to identify the hazards and evaluate the risks of a hydrogen generation plant. for this purpose, prha (process hazard analysis) was applied for hazard identification while lopa (layer of protection analysis) was used for risk assessment. the study was conducted in the hydrogen p...

2009
Weiwei Du Kiichi Urahama

We present a spectral mapping technique for semisupervised pattern classification. Importance scores of features are firstly evaluated with a semi-supervised feature selection algorithm by Zhao et al. Training data are then embedded into a low-dimensional space with a spectral mapping derived from the selected and weighted feature vectors with which test data are classified by the nearest neigh...

Journal: :International Journal of Research in Engineering and Technology 2013

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده تربیت بدنی علوم ورزشی 1391

مقدمه: رزیستین، یک هورمون مترشحه از بافت چربی است که نقش مهمی را در تنظیم هموستاز انرژی و متابولیسم ایفا می‏کند. هدف از این تحقیق بررسی تاثیر تمرین هوازی منظم بر بیان ژن رزیستین لنفوسیت زنان جوان تمرین کرده بود. روش تحقیق: 20 زن جوان بسکتبالیست (عضو لیگ استان) شهر مشهد که سابقه تمرینی 4 سال تمرین مداوم داشتند بطور تصادفی انتخاب و به دو گروه کنترل و تجربی تقسیم شدند. گروه تجربی به مدت 8 هفته و...

Journal: :Pattern Recognition 2021

Data annotation using visual inspection (supervision) of each training sample can be laborious. Interactive solutions alleviate this by helping experts propagate labels from a few supervised samples to unlabeled ones based solely on the analysis their feature space projection (with no further supervision). We present semi-automatic data approach suitable and semi-supervised label estimation. va...

Journal: :international journal of architecture and urban development 2012
zahra poursoleiman mojgan khakpur

the body of residential complexes is affected by social interactions between residents over time. of the most important places for social communications are bazaars as the backbone of iranian cities. ancient bazaar of babol in north of iran contains natural features which makes a special sense of place. this essay tries to answer to how concept of sense of place is presented and what are factor...

2008
Dhruv Batra Rahul Sukthankar Tsuhan Chen

This paper focuses on semi-supervised clustering, where the goal is to cluster a set of data-points given a set of similar/dissimilar examples. These examples provide instance-level equivalence/in-equivalence constraints (e.g., similar pairs belong to the same cluster while dissimilar pairs belong to different clusters), but in order to aid final clustering we must propagate them to feature-spa...

2017
Maria-Antonietta D’Agostino Lene Terslev Philippe Aegerter Marina Backhaus Peter Balint George A Bruyn Emilio Filippucci Walter Grassi Annamaria Iagnocco Sandrine Jousse-Joulin David Kane Esperanza Naredo Wolfgang Schmidt Marcin Szkudlarek Philip G Conaghan Richard J Wakefield

OBJECTIVES To develop a consensus-based ultrasound (US) definition and quantification system for synovitis in rheumatoid arthritis (RA). METHODS A multistep, iterative approach was used to: (1) evaluate the baseline agreement on defining and scoring synovitis according to the usual practice of different sonographers, using both grey-scale (GS) (synovial hypertrophy (SH) and effusion) and powe...

Journal: :Neurocomputing 2008
Jidong Zhao Ke Lu Xiaofei He

In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally manageable in low-dimensional spaces can become completely impractical in a space of several hundreds or thousands dimensions. Thus, various techniques have been developed for reducing the dimensionality of the feature s...

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