… Indeed, robust hashing algorithms (ie hashing algorithms that generate … robust hashing
mechanism for models based on the use of model fragmentation and locality sensitive hashing. …

… methods make use of randomized algorithms to generate hash codes without … hashing
method, namely, robust hashing with local models (RHLM), which learns a set of robust hash …

… In this paper, we proposed a novel hashing method named Robust Discrete Code Modeling
(RDCM) to tackle the problems of quantization error, disturbance of unreliable codes and …

… method for model similarity. Indeed, robust hashing algorithms (ie, hashing algorithms that
… method for the generation of robust hashes for different types of models. Our approach is …

… Under this new framework, we model the hash values as random variables and quantify
its uncertainty in terms of differential entropy. Using this security framework, we analyze the …

… a 3D mesh model. The scheme that is presented for a hashing model in this paper has … it
can apply to a 3D mesh model and to 3D animated model with hierarchical mesh objects. We …

… Existing DL methods follow the first approach and impose a noise model on the data. We
study the second scenario instead, and explicitly model data uncertainty from a robust …

… alteration of the 3D model, eg conversion or compression operations, massively changes
the cryptographic hash as well. Therefore, this work presents a robust hashing algorithm for 3D …

… , a novel hashing model is proposed to efficiently learn robust discrete binary codes, which
is referred as Robust and Flexible Discrete Hashing (RFDH). In the proposed RFDH model, …

… hashing approach, namely robust discrete hashing (… as robust hash functions within a
unified model. In order to suppress the influence of unreliable binary codes and learn robust hash …