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MTA
2000
165views more  MTA 2000»
13 years 5 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
PAMI
2007
217views more  PAMI 2007»
13 years 4 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
PVLDB
2008
160views more  PVLDB 2008»
13 years 4 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
WH
2010
208views Healthcare» more  WH 2010»
12 years 12 months ago
Portable, non-invasive fall risk assessment in end stage renal disease patients on hemodialysis
Patients with end stage renal diseases (ESRD) on hemodialysis (HD) have high morbidity and mortality due to multiple causes, one of which is dramatically higher fall rates than th...
Thurmon E. Lockhart, Adam T. Barth, Xiaoyue Zhang,...