Assessing segmentation processes by click detection: online measure of statistical learning, or simple interference?
نویسندگان
چکیده
منابع مشابه
Assessing segmentation processes by click detection: online measure of statistical learning, or simple interference?
Statistical learning can be used to extract the words from continuous speech. Gómez, Bion, and Mehler (Language and Cognitive Processes, 26, 212-223, 2011) proposed an online measure of statistical learning: They superimposed auditory clicks on a continuous artificial speech stream made up of a random succession of trisyllabic nonwords. Participants were instructed to detect these clicks, which...
متن کاملextremal region detection guided by maxima of gradient magnitude
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes
We present an active learning framework for image segmentation with user interaction. Our system uses a sparse Gaussian Process classifier (GPC) trained on manually labeled image pixels (user scribbles) and refined in every active learning round. As a special feature, our method uses a very efficient online update rule to compute the class predictions in every round. The final segmentation of t...
متن کاملOnline outlier detection of learners’ irregular learning processes
Distance education using e-learning has become popular in educational situations. One problem is that the instruction strategy tends to be one way, so sometimes learners find it more boring than conventional instruction methods. This chapter proposes a method of online outlier detection of learners’ irregular learning processes using the learners’ response time to e-learning content. The unique...
متن کاملImage Segmentation using Statistical Learning
Pattern classification aims to classify data based on information extracted from the patterns under uncertainty. We will discuss five methods to classify data given training sets. The first method is very simple and uses only one feature of the sample vector, which we refer to as Second Maximum Energy Method. The other methods are parametric estimations: Maximum Likelihood (ML) of a multivariat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Behavior Research Methods
سال: 2014
ISSN: 1554-3528
DOI: 10.3758/s13428-014-0548-x