The explosion of image data on the Internet has the potential to foster more sophisticated
and robust models and algorithms to index, retrieve, organize and interact with images and …

Convolutional neural network (CNN) depth is of crucial importance for image super-resolution
(SR). However, we observe that deeper networks for image SR are more difficult to train. …

Fluorescent bioprobes are powerful tools for analytical sensing and optical imaging, which
允许直接visualization of biological analytes at the molecular level and offer useful insights …

Corporate finance decisions are not made at random, but are usually deliberate decisions
by firms or their managers to self-select into their preferred choices. This chapter reviews …

This paper presents and characterizes the Princeton Application Repository for Shared-Memory
Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). …

Decentralized and unstructured peer-to-peer networks such as Gnutella are attractive for
certain applications because they require no centralized directories and no precise control over …

The memory coherence problem in designing and implementing a shared virtual memory on
loosely coupled multiprocessors is studied in depth. Two classes of algorithms, centralized …

Within a cost–benefit framework, we hypothesize that independent institutions with long-term
investments will specialize in monitoring and influencing efforts rather than trading. Other …

Similarity indices for high-dimensional data are very desirable for building content-based
search systems for featurerich data such as audio, images, videos, and other sensor data. …

Disk-based deduplication storage has emerged as the new-generation storage system for
enterprise data protection to replace tape libraries. Deduplication removes redundant data …