2,959 research outputs found
The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences
Current smartphone operating systems regulate application permissions by
prompting users on an ask-on-first-use basis. Prior research has shown that
this method is ineffective because it fails to account for context: the
circumstances under which an application first requests access to data may be
vastly different than the circumstances under which it subsequently requests
access. We performed a longitudinal 131-person field study to analyze the
contextuality behind user privacy decisions to regulate access to sensitive
resources. We built a classifier to make privacy decisions on the user's behalf
by detecting when context has changed and, when necessary, inferring privacy
preferences based on the user's past decisions and behavior. Our goal is to
automatically grant appropriate resource requests without further user
intervention, deny inappropriate requests, and only prompt the user when the
system is uncertain of the user's preferences. We show that our approach can
accurately predict users' privacy decisions 96.8% of the time, which is a
four-fold reduction in error rate compared to current systems.Comment: 17 pages, 4 figure
2011-2012 Philharmonia in Concert at Boca West
https://spiral.lynn.edu/conservatory_philharmonia/1063/thumbnail.jp
2011-2012 Lynn Philharmonia No. 3
2011 Concerto Competition Winners December 3, 2011 at 7:30 PM and December 4, 2011 at 4:00 PM Bruce Polay, guest conductor ; Heqing Huang, piano ; Doniyor Zuparov, cello ; Chun Yu Tsai, marimba ; Anastasiya Timofeeva, piano Overture to Rienzi / Richard Wagner -- Piano Concerto No. 1 in C Major, op. 15 / Ludwig van Beethoven -- Cello Concerto No. 1 in E-flat Major, op. 107 / Dmitri Shostakovich -- Concerto for Marimba and String Orchestra / Emmanuel Séjourné -- Piano Concerto No. 1 in B-flat Minor, op. 23 / Pyotr Ilyich Tchaikovsky
2011-2012 Philharmonia Season Programhttps://spiral.lynn.edu/conservatory_philharmonia/1021/thumbnail.jp
Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion
This paper presents a novel approach to inpainting 3D regions of a scene,
given masked multi-view images, by distilling a 2D diffusion model into a
learned 3D scene representation (e.g. a NeRF). Unlike 3D generative methods
that explicitly condition the diffusion model on camera pose or multi-view
information, our diffusion model is conditioned only on a single masked 2D
image. Nevertheless, we show that this 2D diffusion model can still serve as a
generative prior in a 3D multi-view reconstruction problem where we optimize a
NeRF using a combination of score distillation sampling and NeRF reconstruction
losses. Predicted depth is used as additional supervision to encourage accurate
geometry. We compare our approach to 3D inpainting methods that focus on object
removal. Because our method can generate content to fill any 3D masked region,
we additionally demonstrate 3D object completion, 3D object replacement, and 3D
scene completion
Recommended from our members
Reliability and Validity of Instruments for Assessing Perinatal Depression in African Settings: Systematic Review and Meta-Analysis
Background: A major barrier to improving perinatal mental health in Africa is the lack of locally validated tools for identifying probable cases of perinatal depression or for measuring changes in depression symptom severity. We systematically reviewed the evidence on the reliability and validity of instruments to assess perinatal depression in African settings. Methods and Findings: Of 1,027 records identified through searching 7 electronic databases, we reviewed 126 full-text reports. We included 25 unique studies, which were disseminated in 26 journal articles and 1 doctoral dissertation. These enrolled 12,544 women living in nine different North and sub-Saharan African countries. Only three studies (12%) used instruments developed specifically for use in a given cultural setting. Most studies provided evidence of criterion-related validity (20 [80%]) or reliability (15 [60%]), while fewer studies provided evidence of construct validity, content validity, or internal structure. The Edinburgh postnatal depression scale (EPDS), assessed in 16 studies (64%), was the most frequently used instrument in our sample. Ten studies estimated the internal consistency of the EPDS (median estimated coefficient alpha, 0.84; interquartile range, 0.71-0.87). For the 14 studies that estimated sensitivity and specificity for the EPDS, we constructed 2 x 2 tables for each cut-off score. Using a bivariate random-effects model, we estimated a pooled sensitivity of 0.94 (95% confidence interval [CI], 0.68-0.99) and a pooled specificity of 0.77 (95% CI, 0.59-0.88) at a cut-off score of ≥9, with higher cut-off scores yielding greater specificity at the cost of lower sensitivity. Conclusions: The EPDS can reliably and validly measure perinatal depression symptom severity or screen for probable postnatal depression in African countries, but more validation studies on other instruments are needed. In addition, more qualitative research is needed to adequately characterize local understandings of perinatal depression-like syndromes in different African contexts
- …