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Total Results: 38

GIFT: Towards Scalable 3D Shape Retrieval - Temple University

https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf

Abstract—Projective analysis is an important solution in three-dimensional (3D) shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different viewpoints. Although multiple informative and discriminative views are utilized, most projection-based retrieval systems suffer from heavy computational cost, and thus cannot satisfy the basic requirement ...

The Simple Act of Choosing Influences Declarative Memory

https://sites.temple.edu/adaptivememorylab/files/2018/07/Murty-VP-DuBrow-S-Davachi-L.-2015-The-simple-act-of-choosing-influences-declarative-memory.-Journal-of-Neuroscience-35-6255-6264-Selected-as-a-Feature-Article-.pdf

Individuals value the opportunity to make choices and exert control over their environment. This perceived sense of agency has been shown to have broad influences on cognition, including preference, decision-making, and valuation. However, it is unclear whether perceived control influences memory. Using a combined behavioral and functional magnetic resonance imaging approach, we investi ...

M2381 - BENSON PRINT.indd - College of Liberal Arts

https://liberalarts.temple.edu/sites/liberalarts/files/Handbook_on_the_Economics.pdf

However, given the high probability of false activations, police respond at a low priority to alarm activations, signifi cantly diminishing the ef ectiveness of alarms while still maintaining the high cost of response ($80–$120). Response to alarms involves two exclusive and independent public and private goods.

Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence ...

https://www.fox.temple.edu/sites/fox/files/Frontiers-Machines-versus-Humans-The-Impact-of-Artificial-Intelligence-Chatbot-Disclosure-on-Customer-Purchases.pdf

Results in Table 5 with both OLS and tobit models consistently support the negative and signi ficant ef-fect of before conversation on call length for the samples of attempted calls, excluding nonresponses and hang-ups.

MRRC: an effective cache for fast memory registration in RDMA

https://cis.temple.edu/~he/publications/Conferences/RDMA_MSST06.pdf

Abstract RDMA reduces network latency by eliminating unnec-essary copies from network interface card to application buffers, but how to reduce memory registration cost is a challenge. Previous studies use pin-down cache and batched deregistration to address this issue, but only sim-ple LRU is used as a replacement algorithm to manage the cache space. In this paper, we propose an effective ...

location_mobicom.dvi - Temple University

https://cis.temple.edu/~jiewu/teaching/Spring%202013/01-savvides-localization-wireless-sensor-networks-fine-grained.pdf

Abstract— Wireless communication systems have become increasingly common because of advances in radio and embedded system technologies. In recent years, a new class of applications that networks these wireless de-vices together is evolving. A representative of this class that has received considerable attention from the research community is the wireless sensor network. Such a sensor ...

2 Outcomes, events, and probability - Temple University

https://cis.temple.edu/~latecki/Courses/Math3033-Fall09/DekkingBook07/DekkingBook_c2.pdf

Outcomes, events, and probability The world around us is full of phenomena we perceive as random or unpre-dictable. We aim to model these phenomena as outcomes of some experiment, where you should think of experiment in a very general sense. The outcomes are elements of a sample space Ω, and subsets of Ω are called events.The events will be assigned a probability, a number between 0 and 1 ...

TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf

Abstract—Recent years have witnessed the unprecedented performance of convolutional networks in image super-resolution (SR). SR involves upscaling a single low-resolution image to meet application-specific image quality demands, making it vital for mobile devices. However, the excessive computational and memory requirements of SR tasks pose a challenge in mapping SR networks on a single ...