Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jacqueline Feild"'
Publikováno v:
LAK
Student success, a major focus in higher education, in part, requires students to remain actively engaged in the required coursework. Identifying student disengagement, when a student stops completing coursework, at scale has been a continuing challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d9b15266385e1d83f72aabdccf8d453
https://doi.org/10.1145/3170358.3170370
https://doi.org/10.1145/3170358.3170370
Autor:
Nicholas Lewkow, Jacqueline Feild
Publikováno v:
Lecture Notes in Educational Technology ISBN: 9789811306495
This chapter is an introduction to parallel processing with education data. As the amount of education data continues to grow, new methods for processing this data efficiently are required. This chapter gives a history of popular parallel computing f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1907d3ac12408b527f1ddc9443332be5
https://doi.org/10.1007/978-981-13-0650-1_9
https://doi.org/10.1007/978-981-13-0650-1_9
Publikováno v:
LAK
Educational practitioners and policy makers require evidence supporting claims about educational efficacy. Evidence is often found using causal relationships between education inputs and student learning outcomes. Causal inference covers a wide range
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd57e709da9acf4a7920c0fa25a6dc97
https://doi.org/10.1145/3027385.3029428
https://doi.org/10.1145/3027385.3029428
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 36(2)
The growth in digital camera usage combined with a worldly abundance of text has translated to a rich new era for a classic problem of pattern recognition, reading. While traditional document processing often faces challenges such as unusual fonts, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79095a058416cfce0832fc50a73cf62b
https://pubmed.ncbi.nlm.nih.gov/24356356
https://pubmed.ncbi.nlm.nih.gov/24356356
Autor:
Erik Learned-Miller, Jacqueline Feild
Publikováno v:
ICDAR
This paper presents a system for open-vocabulary text recognition in images of natural scenes. First, we describe a novel technique for text segmentation that models smooth color changes across images. We combine this with a recognition component bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7df377f1ff4dc92ce3fca0b8103179d
https://doi.org/10.1109/icdar.2013.125
https://doi.org/10.1109/icdar.2013.125
Publikováno v:
ICDAR
This paper presents a new language model for text recognition in natural images. Many existing techniques incorporate n-gram information as an additional source of information. One problem is that some n-grams are very uncommon, but will still appear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4694b6667d5433046d5c9c6300a785f9
https://doi.org/10.1109/icdar.2013.183
https://doi.org/10.1109/icdar.2013.183
Publikováno v:
ICDAR
Recognizing text in natural photographs that contain specular highlights and focal blur is a challenging problem. In this paper we describe a new text segmentation method based on inverse rendering, i.e. decomposing an input image into basic renderin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09abd0515516fd1cb6fb1c384607952d
https://doi.org/10.1109/icdar.2013.98
https://doi.org/10.1109/icdar.2013.98