819 research outputs found
Letter to S.D. Woodruff from F.B. Day
No full textLetter to S.D. Woodruff from F.B. Day acknowledging receipt of the $36.00 and reporting on the
lumber that is still standing in berths 192 and 198, May 31, 1878
Letter to F.B. Day [from S.D. Woodruff]
No full textLetter to F.B. Day (3 pages, unsigned) [from S.D. Woodruff] in which he says he is enclosing the
$36.00 owed to him, Nov. 5, 1878
Letter to S.D. Woodruff from Mr. Day
No full textLetter to S.D. Woodruff from Mr. Day who says that his son will examine the land tomorrow. Mr.
Day has impressed upon his son the importance of a careful inspection, Apr. 30, 1878
Letter to S.D. Woodruff from F. B. Day
No full textLetter (1 ½ handwritten pages) to S.D. Woodruff from F. B. Day stating that spent 12 days
inspecting berths 192 and 198. He has found 28 trees left behind. 6 of these are doubtful and 4
are Norway Pines. He states that the spirit of Mr. Woodruff’s argument has been carried out, May
14, 1878
Furman annual Alumni Day
No full textThe photograph was taken at the Furman annual Alumni Day. Pictured in the front row from left to right are Wayland B. Jones, Manly E. Hutchinson, and F.B. Mobley. In the back row from left to right are William Duva Nixon, W.W. Wingo, and C.H. Burnett
The Look and Listen Series
No full textI had bought a copy of this book sixteen years ago for about one-seventh the price! This copy is different in at least two respects. First, its spine is not broken at the top nor frayed at the bottom. Secondly, its cover uses black rather than purple ink for its print and the stripe framing the cover. This copy's cover is stained. Its pre-title page has a different feel and heft. Otherwise let me include comments I made then. Five dramas. Good encouragement to adapt is built right into the first story, FG. FC is nicely elaborated. FS includes both Mr. and Mrs. Stork; the fox gets his muzzle caught in the pot. How a Bear and a Man became Friends gets into crazy language games: other animals cannot talk, but they think that there is something wrong with an animal that can talk. On the first day, the bear hits the man in the face with his paw. On the second day he piles grass on the man's nose. On the third day he asks a swallow to eat the fly. TH includes an ending comment (39) about the difficulty of playing the snake! The stories here are greatly elaborated. There are very nice monochrome illustrations, which I like a great deal, along with two poor full-page illustrations (frontispiece and 23). Beginning at 34 we find two-color art in green and brown.This is a hardbound book (hard cover)F.B. Kirkma
The Look and Listen Series
No full textFive dramas. Good encouragement to adapt is built right into the first story, FG. FC is nicely elaborated. FS includes both Mr. and Mrs. Stork; the fox gets his muzzle caught in the pot. How a Bear and a Man became Friends gets into crazy language games: other animals cannot talk, but they think that there is something wrong with an animal that can talk. On the first day, the bear hits the man in the face with his paw. On the second day he piles grass on the man's nose. On the third day he asks a swallow to eat the fly. TH includes an ending comment (39) about the difficulty of playing the snake! The stories here are greatly elaborated. There are very nice monochrome illustrations, which I like a great deal, along with two poor full-page illustrations (frontispiece and 23). Beginning at 34 we find two-color art in green and brown.This is a hardbound book (hard cover)F.B. Kirkma
Entrance to the Physical Education Building at the University of Southern California, [s.d.]
No full textPhotograph of the entrance to the Physical Education Building at the University of Southern California, [s.d.]. The entrance is at center at the base of a large archway. Three sets of doors can be seen, separated by cylindrical columns. At the peak of the arch, a stone statue depicting the head of a Trojan sticks out from the building. The seal of the University appears directly over the statue. The walls of the building are made of large, light-colored bricks at center and more conventional bricks on the outside. Engraved on the side of the building at right are the words "In Concordiam Mentis Et Corporis".; "A Trojan warrior keeps silent vigil above the entrance to the physical education building at the University of Southern California. One of the more recent additions to the university, latest equipment of every kind is at the disposal of S.C. students for the development of sound bodies. Large gymnasiums, two swimming pools, handball courts, spacious locker rooms, and other conveniences are features of the building, which also contains a group of lecture rooms and faculty offices."-- unknown author. Photoprint reads: "News Bureau, F.B. Skeele, University of Southern California, University Park, Los Angeles, California"
Review of the book by F.B. Batyrgarey “Registers of birth of muslims in the city of Tver”
No full textThe article is a review of the new book by researcher F.B. Butyrgarey Registers of Birth of Muslims in the City of Tver. The book devoted to the publication of Muslim metric books of Tver is of importance and much-in-demand. These documents are published for the first time. The research includes all Muslim parish registers of the city of Tver, which were kept in the State Archive of the Tver Region. The author provided their transcription and on the basis of the given documents, he presented an interesting material about the state and development of the Tatar society of the Russian city of Tver in 1905–1918
EuroCity persons: A novel benchmark for person detection in traffic scenes
No full textBig data has had a great share in the success of deep learning in computer vision. Recent works suggest that there is significant further potential to increase object detection performance by utilizing even bigger datasets. In this paper, we introduce the EuroCity Persons dataset, which provides a large number of highly diverse, accurate and detailed annotations of pedestrians, cyclists and other riders in urban traffic scenes. The images for this dataset were collected on-board a moving vehicle in 31 cities of 12 European countries. With over 238,200 person instances manually labeled in over 47,300 images, EuroCity Persons is nearly one order of magnitude larger than datasets used previously for person detection in traffic scenes. The dataset furthermore contains a large number of person orientation annotations (over 211,200). We optimize four state-of-the-art deep learning approaches (Faster R-CNN, R-FCN, SSD and YOLOv3) to serve as baselines for the new object detection benchmark. In experiments with previous datasets we analyze the generalization capabilities of these detectors when trained with the new dataset. We furthermore study the effect of the training set size, the dataset diversity (day- versus night-time, geographical region), the dataset detail (i.e., availability of object orientation information) and the annotation quality on the detector performance. Finally, we analyze error sources and discuss the road ahead.Accepted Author ManuscriptIntelligent Vehicle
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