A modern pioneer in Korea the life story of Henry G. Appenzeller

http://www.archive.org/details/amodernpioneerin00grifuoft

A history of Indian missions on the Pacific coast : Oregon, Washington and Idaho / by Myron Eells ; with an introduction by G.H. Atkinson.

http://www.archive.org/details/missionspacific00eellrich

The Churchman's prayer manual : for use at prayer meetings, mission services, conventions, Bible classes, study circles and other occasions of united prayer, as well as for private use compiled by G. R. Bullock-Webster.

http://www.archive.org/details/churchmansprayer00bulluoft

John Innocent: A story of mission work in North China, by G.T. Candlin.

http://www.archive.org/details/johninnocent00canduoft

Islam and missions : being papers read at the Second Missionary Conference on behalf of the Mohammedan World at Lucknow, January 23-28, 1911 / edited by E.M. Wherry, S.M. Zwemer, C.G. Mylrea.

http://www.archive.org/details/islamandmissions012033mbp

Kabir and the Kabir Panth / by G.H. Westcott.

http://www.archive.org/details/kabirandthekabir020544mbp

G. Ernest Wright Papers, 1957-1972

This collection primarily contains correspondence from Wright’s years as president of ASOR. Material dates as far back as 1957, and proceed into the early 1970’s. Some of Wright’s more notable correspondents include William F. Albright, A. Henry Detweiler, Paul W. Lapp, William Reed, and Dean Seiler. Subject-specific correspondence includes records of expenditures, budget planning, corporate memberships, and the Jerusalem School.

Combining Textual and Visual Cues for Content-based Image Retrieval on the World Wide Web

Some WWW image engines allow the user to form a query in terms of text keywords. To build the image index, keywords are extracted heuristically from HTML documents containing each image, and/or from the image URL and file headers. Unfortunately, text-based image engines have merely retro-fitted standard SQL database query methods, and it is difficult to include images cues within such a framework. On the other hand, visual statistics (e.g., color histograms) are often insufficient for helping users find desired images in a vast WWW index. By truly unifying textual and visual statistics, one would expect to get better results than either used separately. In this paper, we propose an approach that allows the combination of visual statistics with textual statistics in the vector space representation commonly used in query by image content systems. Text statistics are captured in vector form using latent semantic indexing (LSI). The LSI index for an HTML document is then associated with each of the images contained therein. Visual statistics (e.g., color, orientedness) are also computed for each image. The LSI and visual statistic vectors are then combined into a single index vector that can be used for content-based search of the resulting image database. By using an integrated approach, we are able to take advantage of possible statistical couplings between the topic of the document (latent semantic content) and the contents of images (visual statistics). This allows improved performance in conducting content-based search. This approach has been implemented in a WWW image search engine prototype.