We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Finding visually identical images in large image collections is important for many applications such as intelligence propriety protection and search result presentation. Several a...
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...
The diversity of methods for fast collision search in SHA-1 and similar hash functions makes a comparison of them difficult. The literature is at times very vague on this issue, wh...
We propose two hashing-based solutions to the problem of fast and effective personal names spelling correction in People Search applications. The key idea behind our methods is to...