7 citations · 10 across the 6 of their papers we have counts for
4 papers · 1 filter
Hashing with Mutual Information
Fatih Cakir, Kun He, Sarah Adel Bargal +1
Binary vector embeddings enable fast nearest neighbor retrieval in large databases of high-dimensional objects, and play an important role in many practical applications, such as i…
MIHash: Online Hashing with Mutual Information
Fatih Cakir, Kun He, Sarah Adel Bargal +1
Learning-based hashing methods are widely used for nearest neighbor retrieval, and recently, online hashing methods have demonstrated good performance-complexity trade-offs by lear…
Online Supervised Hashing for Ever-Growing Datasets
Fatih Cakir, Sarah Adel Bargal, Stan Sclaroff
Supervised hashing methods are widely-used for nearest neighbor search in computer vision applications. Most state-of-the-art supervised hashing approaches employ batch-learners. U…
Visual Word Selection without Re-Coding and Re-Pooling
Fatih Cakir, Stan Sclaroff
The Bag-of-Words (BoW) representation is widely used in computer vision. The size of the codebook impacts the time and space complexity of the applications that use BoW. Thus, give…