7 citations · 17 across the 9 of their papers we have counts for
4 papers · 1 filter
Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing
Makiko Konoshima, Hirotaka Tamura, Yoshiyuki Kabashima
The 0/1 matrix factorization defines matrix products using logical AND and OR as product-sum operators, revealing the factors influencing various decision processes. Instances and…
Markov Chain Monte Carlo for Arrangement of Hyperplanes in Locality-Sensitive Hashing
Yui Noma, Makiko Konoshima
Since Hamming distances can be calculated by bitwise computations, they can be calculated with less computational load than L2 distances. Similarity searches can therefore be perfo…
Hyperplane Arrangements and Locality-Sensitive Hashing with Lift
Makiko Konoshima, Yui Noma
Locality-sensitive hashing converts high-dimensional feature vectors, such as image and speech, into bit arrays and allows high-speed similarity calculation with the Hamming distan…
Locality-Sensitive Hashing with Margin Based Feature Selection
Makiko Konoshima, Yui Noma
We propose a learning method with feature selection for Locality-Sensitive Hashing. Locality-Sensitive Hashing converts feature vectors into bit arrays. These bit arrays can be use…